{"id":16532,"date":"2024-01-26T13:07:21","date_gmt":"2024-01-26T09:37:21","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/"},"modified":"2024-01-26T13:07:21","modified_gmt":"2024-01-26T09:37:21","slug":"%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/","title":{"rendered":"\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d8%b1%d9%88%d8%b4_%d9%87%d8%a7%db%8c_%d9%81%db%8c%d9%84%d8%aa%d8%b1_%d8%a8%d8%b1%d8%a7%db%8c_%d8%a7%d9%86%d8%aa%d8%ae%d8%a7%d8%a8_%d9%88%db%8c%da%98%da%af%db%8c\" >\u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%ab%d8%a7%d8%a8%d8%aa\" >\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%b4%d8%a8%d9%87_%d8%ab%d8%a7%d8%a8%d8%aa\" >\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%aa%da%a9%d8%b1%d8%a7%d8%b1%db%8c\" >\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d9%85%d8%b1%d8%aa%d8%a8%d8%b7\" >\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7%d8%b2-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d9%81%db%8c%d9%84%d8%aa%d8%b1-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%b1%d8%a7%db%8c\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 12<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u06cc\u0627\u062f \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f \u06a9\u0647 \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647\u200c\u0627\u0646\u062f.  \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0647 \u0634\u062f\u062a \u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647  \u062f\u0631 \u062d\u0627\u0644\u062a \u0627\u06cc\u062f\u0647\u200c\u0622\u0644\u060c \u0645\u0627 \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0622\u0646 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062d\u0641\u0638 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0628\u0647 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0686\u06cc\u0632\u06cc \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u062f.<\/p>\n<p>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0636\u0631\u0648\u0631\u06cc \u0648 \u0632\u0627\u0626\u062f \u0646\u0647 \u062a\u0646\u0647\u0627 \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f\u060c \u0628\u0644\u06a9\u0647 \u0628\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0646\u06cc\u0632 \u062a\u0623\u062b\u06cc\u0631 \u0645\u06cc \u06af\u0630\u0627\u0631\u062f.  \u0627\u06cc\u0646 process \u0627\u0632 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u0646\u0627\u0633\u0628 \u062a\u0631\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u00ab\u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc\u00bb \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0627\u0646\u062c\u0627\u0645 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0642\u0628\u0644 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0686\u0646\u062f\u06cc\u0646 \u0645\u0632\u06cc\u062a \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0631\u062e\u06cc \u0627\u0632 \u0622\u0646\u0647\u0627 \u062f\u0631 \u0632\u06cc\u0631 \u0641\u0647\u0631\u0633\u062a \u0634\u062f\u0647 \u0627\u0646\u062f:<\/p>\n<ul>\n<li>\u0645\u062f\u0644\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u06a9\u0645\u062a\u0631\u06cc \u062f\u0627\u0631\u0646\u062f\u060c \u0642\u0627\u0628\u0644\u06cc\u062a \u062a\u0648\u0636\u06cc\u062d \u0628\u06cc\u0634\u062a\u0631\u06cc \u062f\u0627\u0631\u0646\u062f<\/li>\n<li>\u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0627\u0647\u0634 \u06cc\u0627\u0641\u062a\u0647 \u0622\u0633\u0627\u0646 \u062a\u0631 \u0627\u0633\u062a<\/li>\n<li>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0645\u062a\u0631 \u0645\u0646\u062c\u0631 \u0628\u0647 \u062a\u0639\u0645\u06cc\u0645 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0628\u0647 \u0646\u0648\u0628\u0647 \u062e\u0648\u062f \u06a9\u0627\u0647\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.investopedia.com\/terms\/o\/overfitting.asp\">\u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f<\/a><\/li>\n<li>\u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc\u060c \u0627\u0641\u0632\u0648\u0646\u06af\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u062f<\/li>\n<li>\u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0647\u0627\u06cc \u0628\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0645\u062a\u0631 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u06a9\u0645\u062a\u0631 \u0627\u0633\u062a<\/li>\n<li>\u0645\u062f\u0644 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0645\u062a\u0631\u06cc \u062f\u0627\u0631\u0646\u062f \u06a9\u0645\u062a\u0631 \u062f\u0631 \u0645\u0639\u0631\u0636 \u062e\u0637\u0627 \u0647\u0633\u062a\u0646\u062f<\/li>\n<\/ul>\n<p>\u0686\u0646\u062f\u06cc\u0646 \u0631\u0648\u0634 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0647\u06cc\u0646\u0647 \u062a\u0631\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062a\u0648\u0633\u0639\u0647 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0647\u0627 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0646\u0627\u0645\u06cc\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0628\u0631\u0631\u0633\u06cc \u0628\u0631\u062e\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0645\u06cc \u067e\u0631\u062f\u0627\u0632\u06cc\u0645.<\/p>\n<h2 id=\"filtermethodsforfeatureselection\"><span class=\"ez-toc-section\" id=\"%d8%b1%d9%88%d8%b4_%d9%87%d8%a7%db%8c_%d9%81%db%8c%d9%84%d8%aa%d8%b1_%d8%a8%d8%b1%d8%a7%db%8c_%d8%a7%d9%86%d8%aa%d8%ae%d8%a7%d8%a8_%d9%88%db%8c%da%98%da%af%db%8c\"><\/span>\u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0645\u062a\u0639\u0644\u0642 \u0628\u0647 \u062f\u0633\u062a\u0647 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0631\u0627 \u0645\u0633\u062a\u0642\u0644 \u0627\u0632 \u0645\u062f\u0644 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.  \u0627\u06cc\u0646 \u06cc\u06a9\u06cc \u0627\u0632 \u0628\u0632\u0631\u06af\u062a\u0631\u06cc\u0646 \u0645\u0632\u0627\u06cc\u0627\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0627\u0633\u062a.  \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u0628\u0631\u0627\u06cc \u0647\u0631 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f.  \u06cc\u06a9\u06cc \u062f\u06cc\u06af\u0631 \u0627\u0632 \u0645\u0632\u0627\u06cc\u0627\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0633\u0631\u0639\u062a \u0628\u0633\u06cc\u0627\u0631 \u0632\u06cc\u0627\u062f \u0622\u0646\u0647\u0627\u0633\u062a.  \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0627\u0648\u0644\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u062f\u0631 \u062e\u0637 \u0644\u0648\u0644\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u0628\u0647 \u062f\u0648 \u062f\u0633\u062a\u0647 \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0631\u062f: <strong>\u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062a\u06a9 \u0645\u062a\u063a\u06cc\u0631\u0647<\/strong> \u0648 <strong>\u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647<\/strong>.<\/p>\n<p>\u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062a\u06a9 \u0645\u062a\u063a\u06cc\u0631\u0647 \u0646\u0648\u0639\u06cc \u0631\u0648\u0634 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0641\u0631\u062f\u06cc \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u062e\u0627\u0635 \u0631\u062a\u0628\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0633\u067e\u0633 N \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u0631\u062a\u0631 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u0634\u0648\u0646\u062f.  \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644\u060c \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0631\u062a\u0628\u0647 \u0628\u0646\u062f\u06cc \u0628\u0631\u0627\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062a\u06a9 \u0645\u062a\u063a\u06cc\u0631\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.researchgate.net\/publication\/301320764_Fisher_Score-Based_Feature_Selection_for_Ordinal_Classification_A_Social_Survey_on_Subjective_Well-Being\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0641\u06cc\u0634\u0631<\/a>\u060c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u062a\u0642\u0627\u0628\u0644 \u0648 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Variance\">\u0648\u0627\u0631\u06cc\u0627\u0646\u0633<\/a> \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc<\/p>\n<p>\u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0639\u0627\u06cc\u0628 \u0639\u0645\u062f\u0647 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062a\u06a9 \u0645\u062a\u063a\u06cc\u0631\u0647 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u0646\u062f \u0632\u06cc\u0631\u0627 \u0631\u0627\u0628\u0637\u0647 \u0628\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0641\u0631\u062f\u06cc \u062f\u0631 \u0647\u0646\u06af\u0627\u0645 \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0646\u0645\u06cc \u0634\u0648\u062f.  \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062a\u06a9 \u0645\u062a\u063a\u06cc\u0631\u0647 \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0648 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u0646\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0627\u0636\u0627\u0641\u06cc \u0631\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062d\u0630\u0641 \u06a9\u0646\u0646\u062f \u0632\u06cc\u0631\u0627 \u0631\u0627\u0628\u0637\u0647 \u0645\u062a\u0642\u0627\u0628\u0644 \u0628\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f.  \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0648 \u0645\u0631\u062a\u0628\u0637 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a\u060c \u0634\u0628\u0647 \u062b\u0627\u0628\u062a\u060c \u062a\u06a9\u0631\u0627\u0631\u06cc \u0648 \u0647\u0645\u0628\u0633\u062a\u0647 \u0631\u0627 \u0628\u0627 \u06a9\u0645\u06a9 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u062d\u0630\u0641 \u06a9\u0646\u06cc\u0645.<\/p>\n<h3 id=\"removingconstantfeatures\"><span class=\"ez-toc-section\" id=\"%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%ab%d8%a7%d8%a8%d8%aa\"><\/span>\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0622\u0646 \u062f\u0633\u062a\u0647 \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0641\u0642\u0637 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0628\u0631\u0627\u06cc \u0647\u0645\u0647 \u062e\u0631\u0648\u062c\u06cc\u200c\u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u0646\u062f.  \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0647\u06cc\u0686 \u0627\u0637\u0644\u0627\u0639\u0627\u062a\u06cc \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0646\u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0631\u06a9\u0648\u0631\u062f \u062f\u0631 \u062f\u0633\u062a \u06a9\u0645\u06a9 \u06a9\u0646\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u062a\u0645\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0631\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u0645.  \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0639\u0628\u0627\u0631\u062a \u0627\u0633\u062a \u0627\u0632 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kaggle.com\/c\/santander-customer-satisfaction\/data\">\u0631\u0636\u0627\u06cc\u062a \u0645\u0634\u062a\u0631\u06cc \u0633\u0627\u0646\u062a\u0627\u0646\u062f\u0631<\/a> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u0632 Kaggle \u062f\u0627\u0646\u0644\u0648\u062f \u0634\u0648\u062f.  \u0645\u0627 \u0627\u0632 \u0641\u0627\u06cc\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>train.csv<\/code>.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0646 \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0646\u0627\u0645 \u062f\u0627\u062f\u0645 <code>santander_data.csv<\/code> \u0628\u0631\u0627\u06cc \u0627\u0647\u062f\u0627\u0641 \u062e\u0648\u0627\u0646\u0627\u06cc\u06cc<\/p>\n<h4 id=\"importingrequiredlibrariesanddataset\">\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632<\/h4>\n<p>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u0628\u0627 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u0635\u0641\u0631 \u0647\u0633\u062a\u0646\u062f \u0632\u06cc\u0631\u0627 \u0647\u0645\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u06cc\u06a9\u0633\u0627\u0646 \u0647\u0633\u062a\u0646\u062f.  \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>VarianceThreshold<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"http:\/\/scikit-learn.org\/stable\/\">Scikit-Learn<\/a> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n<span class=\"hljs-keyword\">from<\/span> sklearn.feature_selection <span class=\"hljs-keyword\">import<\/span> VarianceThreshold\n\nsantander_data = pd.read_csv(<span class=\"hljs-string\">r\"E:\\Datasets\\santander_data.csv\"<\/span>, nrows=<span class=\"hljs-number\">40000<\/span>)\nsantander_data.shape\n<\/code><\/pre>\n<p>\u0645\u0646 40 \u0647\u0632\u0627\u0631 \u0631\u06a9\u0648\u0631\u062f \u0628\u0631\u062a\u0631 \u0631\u0627 \u0641\u06cc\u0644\u062a\u0631 \u06a9\u0631\u062f\u0645.  \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f (40000, 371) \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 40 \u0647\u0632\u0627\u0631 \u0631\u062f\u06cc\u0641 \u0648 371 \u0633\u062a\u0648\u0646 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u062f\u0627\u0631\u06cc\u0645.<\/p>\n<h4 id=\"splittingdataintotrainingandtestsets\">\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc<\/h4>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0630\u06a9\u0631 \u0627\u06cc\u0646 \u0646\u06a9\u062a\u0647 \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u062a\u0637\u0628\u06cc\u0642 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0639\u0645\u0627\u0644 \u0634\u0648\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">train_features, test_features, train_labels, test_labels=train_test_split(\n    santander_data.drop(labels=(<span class=\"hljs-string\">'TARGET'<\/span>), axis=<span class=\"hljs-number\">1<\/span>),\n    santander_data(<span class=\"hljs-string\">'TARGET'<\/span>),\n    test_size=<span class=\"hljs-number\">0.2<\/span>,\n    random_state=<span class=\"hljs-number\">41<\/span>)\n<\/code><\/pre>\n<h4 id=\"removingconstantfeaturesusingvariancethreshold\">\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0633\u062a\u0627\u0646\u0647 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633<\/h4>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0627\u0633\u062a.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>VarianceThreshold<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f\u06cc \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u06cc\u0645.  \u062a\u0627\u0628\u0639 \u0628\u0631\u0627\u06cc \u062e\u0648\u062f \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f <code>threshold<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631.  \u067e\u0627\u0633 \u06a9\u0631\u062f\u0646 \u0645\u0642\u062f\u0627\u0631 \u0635\u0641\u0631 \u0628\u0631\u0627\u06cc \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u060c \u062a\u0645\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u0635\u0641\u0631 \u0641\u06cc\u0644\u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0641\u06cc\u0644\u062a\u0631 \u0628\u0631\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">constant_filter = VarianceThreshold(threshold=<span class=\"hljs-number\">0<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u0645\u062b\u0627\u0644 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0628\u0627\u06cc\u062f \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc \u0627\u06cc\u0646 \u0641\u06cc\u0644\u062a\u0631 \u0631\u0627 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">constant_filter.fit(train_features)\n<\/code><\/pre>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0628\u0631\u0627\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u062a\u0645\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062b\u0627\u0628\u062a \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>get_support()<\/code> \u0631\u0648\u0634 \u0641\u06cc\u0644\u062a\u0631\u06cc \u06a9\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u063a\u06cc\u0631 \u062b\u0627\u0628\u062a \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">len<\/span>(train_features.columns(constant_filter.get_support()))\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f 320 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f\u060c \u06cc\u0639\u0646\u06cc \u0627\u0632 370 \u0648\u06cc\u0698\u06af\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc 320 \u0648\u06cc\u0698\u06af\u06cc \u062b\u0627\u0628\u062a \u0646\u06cc\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u0645\u0634\u0627\u0628\u0647\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0631\u0627 \u0628\u0627 \u06a9\u0645\u06a9 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">constant_columns = (column <span class=\"hljs-keyword\">for<\/span> column <span class=\"hljs-keyword\">in<\/span> train_features.columns\n                    <span class=\"hljs-keyword\">if<\/span> column <span class=\"hljs-keyword\">not<\/span> <span class=\"hljs-keyword\">in<\/span> train_features.columns(constant_filter.get_support()))\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-built_in\">len<\/span>(constant_columns))\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u062a\u0645\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062b\u0627\u0628\u062a\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> column <span class=\"hljs-keyword\">in<\/span> constant_columns:\n    <span class=\"hljs-built_in\">print<\/span>(column)\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">ind_var2_0\nind_var2\nind_var18_0\nind_var18\nind_var27_0\nind_var28_0\nind_var28\nind_var27\nind_var34_0\nind_var34\nind_var41\nind_var46_0\nind_var46\nnum_var18_0\nnum_var18\nnum_var27_0\nnum_var28_0\nnum_var28\nnum_var27\nnum_var34_0\nnum_var34\nnum_var41\nnum_var46_0\nnum_var46\nsaldo_var18\nsaldo_var28\nsaldo_var27\nsaldo_var34\nsaldo_var41\nsaldo_var46\ndelta_imp_amort_var18_1y3\ndelta_imp_amort_var34_1y3\nimp_amort_var18_hace3\nimp_amort_var18_ult1\nimp_amort_var34_hace3\nimp_amort_var34_ult1\nimp_reemb_var13_hace3\nimp_reemb_var17_hace3\nimp_reemb_var33_hace3\nimp_trasp_var17_out_hace3\nimp_trasp_var33_out_hace3\nnum_var2_0_ult1\nnum_var2_ult1\nnum_reemb_var13_hace3\nnum_reemb_var17_hace3\nnum_reemb_var33_hace3\nnum_trasp_var17_out_hace3\nnum_trasp_var33_out_hace3\nsaldo_var2_ult1\nsaldo_medio_var13_medio_hace3\n<\/code><\/pre>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 <code>transform()<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>constant_filter<\/code>.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">train_features = constant_filter.transform(train_features)\ntest_features = constant_filter.transform(test_features)\n\ntrain_features.shape, test_features.shape\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f\u060c \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f \u06a9\u0647 \u0647\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0647\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u062a\u0633\u062a \u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0634\u0627\u0645\u0644 320 \u0633\u062a\u0648\u0646 \u0647\u0633\u062a\u0646\u062f\u060c \u0632\u06cc\u0631\u0627 50 \u0633\u062a\u0648\u0646 \u062b\u0627\u0628\u062a \u062d\u0630\u0641 \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<h3 id=\"removingquasiconstantfeatures\"><span class=\"ez-toc-section\" id=\"%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%b4%d8%a8%d9%87_%d8%ab%d8%a7%d8%a8%d8%aa\"><\/span>\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0627\u0632 \u0646\u0627\u0645\u0634 \u067e\u06cc\u062f\u0627\u0633\u062a \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627 \u062b\u0627\u0628\u062a \u0647\u0633\u062a\u0646\u062f.  \u0628\u0647 \u0639\u0628\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u060c \u0627\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0628\u0631\u0627\u06cc \u0632\u06cc\u0631\u0645\u062c\u0645\u0648\u0639\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0632\u0631\u06af\u06cc \u0627\u0632 \u062e\u0631\u0648\u062c\u06cc \u0647\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u06cc\u06a9\u0633\u0627\u0646\u06cc \u062f\u0627\u0631\u0646\u062f.  \u0686\u0646\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0686\u0646\u062f\u0627\u0646 \u0645\u0641\u06cc\u062f \u0646\u06cc\u0633\u062a\u0646\u062f.  \u0647\u06cc\u0686 \u0642\u0627\u0646\u0648\u0646\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0622\u0633\u062a\u0627\u0646\u0647 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0686\u0642\u062f\u0631 \u0628\u0627\u06cc\u062f \u0628\u0627\u0634\u062f \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0642\u0627\u0646\u0648\u0646 \u0633\u0631\u0627\u0646\u06af\u0634\u062a\u06cc\u060c \u0622\u0646 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a\u06cc \u0631\u0627 \u06a9\u0647 \u0628\u06cc\u0634 \u0627\u0632 99 \u062f\u0631\u0635\u062f \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0634\u0627\u0628\u0647 \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0627\u062a \u062e\u0631\u0648\u062c\u06cc \u062f\u0627\u0631\u0646\u062f\u060c \u062d\u0630\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0642\u0633\u0645\u062a \u0628\u0647 \u06a9\u0645\u06a9 : \u06cc\u06a9 \u0641\u06cc\u0644\u062a\u0631 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>VarianceThreshold<\/code> \u062a\u0627\u0628\u0639.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0628\u0647 \u062c\u0627\u06cc \u0639\u0628\u0648\u0631 \u0627\u0632 0 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u062f\u0627\u0631 \u0628\u0631\u0627\u06cc <code>threshold<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u060c 0.01 \u0631\u0627 \u067e\u0627\u0633 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u06a9\u0647 \u0627\u06af\u0631 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u06cc\u06a9 \u0633\u062a\u0648\u0646 \u06a9\u0645\u062a\u0631 \u0627\u0632 0.01 \u0628\u0627\u0634\u062f\u060c \u0622\u0646 \u0633\u062a\u0648\u0646 \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u062f.  \u0628\u0647 \u0639\u0628\u0627\u0631\u062a \u062f\u06cc\u06af\u0631\u060c \u0633\u062a\u0648\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b 99\u066a \u0627\u0632 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0634\u0627\u0628\u0647 \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0645\u0631\u0627\u062d\u0644 \u06a9\u0627\u0645\u0644\u0627 \u0645\u0634\u0627\u0628\u0647 \u0642\u0633\u0645\u062a \u0642\u0628\u0644 \u0627\u0633\u062a.  \u0645\u0627 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u060c \u06cc\u06a9 \u062a\u0642\u0633\u06cc\u0645 \u0622\u0632\u0645\u0648\u0646 \u0642\u0637\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u0646\u062f \u0648 \u0627\u0628\u062a\u062f\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u0646\u062f.<\/p>\n<h4 id=\"importingrequiredlibrariesanddataset\">\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632<\/h4>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n<span class=\"hljs-keyword\">from<\/span> sklearn.feature_selection <span class=\"hljs-keyword\">import<\/span> VarianceThreshold\n\nsantander_data = pd.read_csv(<span class=\"hljs-string\">r\"E:\\Datasets\\santander_data.csv\"<\/span>, nrows=<span class=\"hljs-number\">40000<\/span>)\nsantander_data.shape\n<\/code><\/pre>\n<h4 id=\"splittingdataintotrainingandtestsets\">\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc<\/h4>\n<pre><code class=\"hljs\">train_features, test_features, train_labels, test_labels = train_test_split(\n    santander_data.drop(labels=(<span class=\"hljs-string\">'TARGET'<\/span>), axis=<span class=\"hljs-number\">1<\/span>),\n    santander_data(<span class=\"hljs-string\">'TARGET'<\/span>),\n    test_size=<span class=\"hljs-number\">0.2<\/span>,\n    random_state=<span class=\"hljs-number\">41<\/span>)\n<\/code><\/pre>\n<h4 id=\"removingconstantfeaturesusingvariancethreshold\">\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0633\u062a\u0627\u0646\u0647 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633<\/h4>\n<p>\u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u0645\u060c \u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u06cc\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">constant_filter = VarianceThreshold(threshold=<span class=\"hljs-number\">0<\/span>)\nconstant_filter.fit(train_features)\n\n<span class=\"hljs-built_in\">len<\/span>(train_features.columns(constant_filter.get_support()))\n\nconstant_columns = (column <span class=\"hljs-keyword\">for<\/span> column <span class=\"hljs-keyword\">in<\/span> train_features.columns\n                    <span class=\"hljs-keyword\">if<\/span> column <span class=\"hljs-keyword\">not<\/span> <span class=\"hljs-keyword\">in<\/span> train_features.columns(constant_filter.get_support()))\n\ntrain_features.drop(labels=constant_columns, axis=<span class=\"hljs-number\">1<\/span>, inplace=<span class=\"hljs-literal\">True<\/span>)\ntest_features.drop(labels=constant_columns, axis=<span class=\"hljs-number\">1<\/span>, inplace=<span class=\"hljs-literal\">True<\/span>)\n<\/code><\/pre>\n<h4 id=\"removingquasiconstantfeaturesusingvariancethreshold\">\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0633\u062a\u0627\u0646\u0647 \u0648\u0627\u0631\u06cc\u0627\u0646\u0633<\/h4>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0641\u06cc\u0644\u062a\u0631 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u062e\u0648\u062f \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">qconstant_filter = VarianceThreshold(threshold=<span class=\"hljs-number\">0.01<\/span>)\n<\/code><\/pre>\n<p>\u0628\u0642\u06cc\u0647 \u0645\u0631\u0627\u062d\u0644 \u0628\u0647 \u0647\u0645\u06cc\u0646 \u0635\u0648\u0631\u062a \u0627\u0633\u062a.  \u0645\u0627 \u0628\u0627\u06cc\u062f \u0641\u06cc\u0644\u062a\u0631 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u0645 <code>fit()<\/code> \u0631\u0648\u0634\u06cc \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<pre><code class=\"hljs\">qconstant_filter.fit(train_features)\n<\/code><\/pre>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">len<\/span>(train_features.columns(qconstant_filter.get_support()))\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u0639\u062f\u062f 265 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 320 \u0633\u062a\u0648\u0646\u06cc \u06a9\u0647 \u067e\u0633 \u0627\u0632 \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u06cc\u0645\u060c 55 \u0633\u062a\u0648\u0646 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062a\u0623\u06cc\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">qconstant_columns = (column <span class=\"hljs-keyword\">for<\/span> column <span class=\"hljs-keyword\">in<\/span> train_features.columns\n                    <span class=\"hljs-keyword\">if<\/span> column <span class=\"hljs-keyword\">not<\/span> <span class=\"hljs-keyword\">in<\/span> train_features.columns(qconstant_filter.get_support()))\n\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-built_in\">len<\/span>(qconstant_columns))\n<\/code><\/pre>\n<p>\u0634\u0645\u0627 \u0628\u0627\u06cc\u062f 55 \u0631\u0627 \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0628\u06cc\u0646\u06cc\u062f.<\/p>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f print \u0646\u0627\u0645 \u062a\u0645\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0634\u0628\u0647 \u062b\u0627\u0628\u062a  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> column <span class=\"hljs-keyword\">in<\/span> qconstant_columns:\n    <span class=\"hljs-built_in\">print<\/span>(column)\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u0646\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">ind_var1\nind_var6_0\nind_var6\nind_var13_largo\nind_var13_medio_0\nind_var13_medio\nind_var14\nind_var17_0\nind_var17\nind_var19\nind_var20_0\nind_var20\nind_var29_0\nind_var29\nind_var30_0\nind_var31_0\nind_var31\nind_var32_cte\nind_var32_0\nind_var32\nind_var33_0\nind_var33\nind_var40\nind_var39\nind_var44_0\nind_var44\nnum_var6_0\nnum_var6\nnum_var13_medio_0\nnum_var13_medio\nnum_op_var40_hace3\nnum_var29_0\nnum_var29\ndelta_imp_aport_var33_1y3\ndelta_num_aport_var33_1y3\nind_var7_emit_ult1\nind_var7_recib_ult1\nnum_aport_var33_hace3\nnum_aport_var33_ult1\nnum_var7_emit_ult1\nnum_meses_var13_medio_ult3\nnum_meses_var17_ult3\nnum_meses_var29_ult3\nnum_meses_var33_ult3\nnum_meses_var44_ult3\nnum_reemb_var13_ult1\nnum_reemb_var17_ult1\nnum_reemb_var33_ult1\nnum_trasp_var17_in_hace3\nnum_trasp_var17_in_ult1\nnum_trasp_var17_out_ult1\nnum_trasp_var33_in_hace3\nnum_trasp_var33_in_ult1\nnum_trasp_var33_out_ult1\nnum_venta_var44_hace3\n<\/code><\/pre>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0622\u06cc\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062a\u0633\u062a \u0645\u0627 \u0641\u0642\u0637 \u0634\u0627\u0645\u0644 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u063a\u06cc\u0631 \u062b\u0627\u0628\u062a \u0648 \u063a\u06cc\u0631 \u062b\u0627\u0628\u062a \u0647\u0633\u062a\u0646\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 <code>transform()<\/code> \u0631\u0648\u0634 \u0627\u0632 <code>qconstant_filter<\/code>.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">train_features = qconstant_filter.transform(train_features)\ntest_features = qconstant_filter.transform(test_features)\n\ntrain_features.shape, test_features.shape\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f\u060c \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f \u06a9\u0647 \u0647\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0647\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0634\u0627\u0645\u0644 265 \u0633\u062a\u0648\u0646 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f\u060c \u0632\u06cc\u0631\u0627 50 \u0633\u062a\u0648\u0646 \u062b\u0627\u0628\u062a \u0648 55 \u0633\u062a\u0648\u0646 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0627\u0632 \u0645\u062c\u0645\u0648\u0639 370 \u0633\u062a\u0648\u0646 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u062d\u0630\u0641 \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<h3 id=\"removingduplicatefeatures\"><span class=\"ez-toc-section\" id=\"%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d8%aa%da%a9%d8%b1%d8%a7%d8%b1%db%8c\"><\/span>\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0634\u0627\u0628\u0647\u06cc \u062f\u0627\u0631\u0646\u062f.  \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0647\u06cc\u0686 \u0627\u0631\u0632\u0634\u06cc \u0628\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0646\u0645\u06cc\u200c\u0627\u0641\u0632\u0627\u06cc\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u0628\u0627\u0639\u062b \u0627\u0641\u0632\u0627\u06cc\u0634 \u0633\u0631\u0628\u0627\u0631 \u0648 \u062a\u0627\u062e\u06cc\u0631 \u063a\u06cc\u0631 \u0636\u0631\u0648\u0631\u06cc \u0628\u0647 \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0647\u0645\u06cc\u0634\u0647 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc \u0634\u0648\u062f \u0642\u0628\u0644 \u0627\u0632 \u0622\u0645\u0648\u0632\u0634\u060c \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0631\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<h4 id=\"importingrequiredlibrariesanddataset\">\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632<\/h4>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n<span class=\"hljs-keyword\">from<\/span> sklearn.feature_selection <span class=\"hljs-keyword\">import<\/span> VarianceThreshold\n\nsantander_data = pd.read_csv(<span class=\"hljs-string\">r\"E:\\Datasets\\santander_data.csv\"<\/span>, nrows=<span class=\"hljs-number\">20000<\/span>)\nsantander_data.shape\n<\/code><\/pre>\n<p>\u062d\u0630\u0641 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0627\u0632 \u0646\u0638\u0631 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u067e\u0631\u0647\u0632\u06cc\u0646\u0647 \u0628\u0627\u0634\u062f \u0632\u06cc\u0631\u0627 \u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u0645\u0627\u062a\u0631\u06cc\u0633 \u062f\u0627\u062f\u0647 \u0631\u0627 \u062c\u0627\u0628\u0647\u200c\u062c\u0627 \u06a9\u0646\u06cc\u0645.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0641\u0648\u0642 \u0645\u0627 \u0641\u0642\u0637 import 20 \u0647\u0632\u0627\u0631 \u0631\u06a9\u0648\u0631\u062f \u0627\u0648\u0644 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0631\u0636\u0627\u06cc\u062a \u0645\u0634\u062a\u0631\u06cc \u0633\u0627\u0646\u062a\u0627\u0646\u062f\u0631 \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.<\/p>\n<h4 id=\"splittingdataintotrainingandtestsets\">\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc<\/h4>\n<pre><code class=\"hljs\">train_features, test_features, train_labels, test_labels = train_test_split(\n    santander_data.drop(labels=(<span class=\"hljs-string\">'TARGET'<\/span>), axis=<span class=\"hljs-number\">1<\/span>),\n    santander_data(<span class=\"hljs-string\">'TARGET'<\/span>),\n    test_size=<span class=\"hljs-number\">0.2<\/span>,\n    random_state=<span class=\"hljs-number\">41<\/span>)\n<\/code><\/pre>\n<h4 id=\"removingduplicatefeaturesusingtranspose\">\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Transpose<\/h4>\n<p>\u0628\u0631\u062e\u0644\u0627\u0641 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0648 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a\u060c \u0645\u0627 \u0647\u06cc\u0686 \u0631\u0648\u0634 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0627\u062e\u0644\u06cc \u0646\u062f\u0627\u0631\u06cc\u0645 \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0631\u0627 \u062d\u0630\u0641 \u06a9\u0646\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0627 \u0631\u0648\u0634\u06cc \u062f\u0627\u0631\u06cc\u0645 \u06a9\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0645\u0627 \u062f\u0631 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0631\u062f\u06cc\u0641\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u062f\u0631 \u06cc\u06a9 \u062f\u06cc\u062a\u0627\u0641\u0631\u06cc\u0645 \u067e\u0627\u0646\u062f\u0627 \u06a9\u0645\u06a9 \u06a9\u0646\u062f.  \u0645\u0627 \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0627\u0628\u062a\u062f\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u062c\u0627\u0628\u062c\u0627 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">train_features_T = train_features.T\ntrain_features_T.shape\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0645\u0627 \u0627\u0646\u062a\u0642\u0627\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u06cc\u0645 \u0648 \u062f\u0631 \u0622\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>train_features_T<\/code> \u0686\u0627\u0631\u0686\u0648\u0628 \u062f\u0627\u062f\u0647  \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0645\u0627 \u0634\u0627\u0645\u0644 16000 \u0631\u062f\u06cc\u0641 \u0648 370 \u0633\u062a\u0648\u0646 \u0627\u0633\u062a\u060c \u0627\u06af\u0631 \u0628\u0647 \u0634\u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062c\u0627\u0628\u062c\u0627 \u0634\u062f\u0647 \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f\u060c \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f \u06a9\u0647 \u0634\u0627\u0645\u0644 370 \u0633\u0637\u0631 \u0648 16000 \u0633\u062a\u0648\u0646 \u0627\u0633\u062a.<\/p>\n<p>\u062e\u0648\u0634\u0628\u062e\u062a\u0627\u0646\u0647\u060c \u062f\u0631 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0645\u0627 \u0622\u0646 \u0631\u0627 \u062f\u0627\u0631\u06cc\u0645 <code>duplicated()<\/code> \u0631\u0648\u0634\u06cc \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0645\u0627 \u062f\u0631 \u06cc\u0627\u0641\u062a\u0646 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0627\u0632 \u062f\u06cc\u062a\u0627\u0641\u0631\u06cc\u0645 \u06a9\u0645\u06a9 \u06a9\u0646\u062f.  \u0628\u0647 \u06cc\u0627\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f\u060c \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc \u0642\u0627\u0628 \u062f\u0627\u062f\u0647 \u0645\u0646\u062a\u0642\u0644 \u0634\u062f\u0647 \u062f\u0631 \u0648\u0627\u0642\u0639 \u0633\u062a\u0648\u0646 \u0647\u0627 \u06cc\u0627 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0642\u0627\u0628 \u062f\u0627\u062f\u0647 \u0648\u0627\u0642\u0639\u06cc \u0647\u0633\u062a\u0646\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645 <code>sum()<\/code> \u0631\u0648\u0634\u060c \u0632\u0646\u062c\u06cc\u0631 \u0634\u062f\u0647 \u0628\u0627 <code>duplicated()<\/code> \u0631\u0648\u0634\u06cc \u06a9\u0647 \u062f\u0631 \u0632\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(train_features_T.duplicated().<span class=\"hljs-built_in\">sum<\/span>())\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f 94 \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0631\u062f\u06cc\u0641\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>drop_duplicates()<\/code> \u0631\u0648\u0634.  \u0627\u06af\u0631 \u0645\u0642\u062f\u0627\u0631 \u0631\u0634\u062a\u0647 \u0631\u0627 \u067e\u0627\u0633 \u06a9\u0646\u06cc\u062f <code>first<\/code> \u0628\u0647 <code>keep<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0632 <code>drop_duplicates()<\/code> \u0631\u0648\u0634\u060c \u062a\u0645\u0627\u0645 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0628\u0647 \u062c\u0632 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u067e\u06cc \u062d\u0630\u0641 \u062e\u0648\u0627\u0647\u0646\u062f \u0634\u062f.  \u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u062a\u0645\u0627\u0645 \u0631\u062f\u06cc\u0641\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0631\u0627 \u062d\u0630\u0641 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0646\u062a\u0642\u0627\u0644\u200c\u06cc\u0627\u0641\u062a\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0635\u0644\u06cc \u06a9\u0647 \u062d\u0627\u0648\u06cc \u0647\u06cc\u0686 \u0633\u062a\u0648\u0646 \u062a\u06a9\u0631\u0627\u0631\u06cc \u0646\u06cc\u0633\u062a\u060c \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">unique_features = train_features_T.drop_duplicates(keep=<span class=\"hljs-string\">'first'<\/span>).T\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0648\u0642\u062a\u0647 print \u0634\u06a9\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062c\u062f\u06cc\u062f \u0645\u0627 \u0628\u062f\u0648\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc:<\/p>\n<pre><code class=\"hljs\">unique_features.shape\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f (16000276) \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f\u060c \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u067e\u0633 \u0627\u0632 \u062d\u0630\u0641 94 \u0633\u062a\u0648\u0646 \u062a\u06a9\u0631\u0627\u0631\u06cc\u060c \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0627 \u0628\u0647 \u0645\u06cc\u0632\u0627\u0646 \u0642\u0627\u0628\u0644 \u062a\u0648\u062c\u0647\u06cc \u06a9\u0627\u0647\u0634 \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u062f\u06cc\u062f\u0646 \u0646\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc\u060c \u0627\u06cc\u0646 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">duplicated_features = (dup_col <span class=\"hljs-keyword\">for<\/span> dup_col <span class=\"hljs-keyword\">in<\/span> train_features.columns <span class=\"hljs-keyword\">if<\/span> dup_col <span class=\"hljs-keyword\">not<\/span> <span class=\"hljs-keyword\">in<\/span> unique_features.columns)\nduplicated_features\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0632\u06cc\u0631 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">('ind_var2',\n 'ind_var13_medio',\n 'ind_var18_0',\n 'ind_var18',\n 'ind_var26',\n 'ind_var25',\n 'ind_var27_0',\n 'ind_var28_0',\n 'ind_var28',\n 'ind_var27',\n 'ind_var29_0',\n 'ind_var29',\n 'ind_var32',\n 'ind_var34_0',\n 'ind_var34',\n 'ind_var37',\n 'ind_var40_0',\n 'ind_var40',\n 'ind_var41',\n 'ind_var39',\n 'ind_var46_0',\n 'ind_var46',\n 'num_var13_medio',\n 'num_var18_0',\n 'num_var18',\n 'num_var26',\n 'num_var25',\n 'num_op_var40_hace3',\n 'num_op_var39_hace3',\n 'num_var27_0',\n 'num_var28_0',\n 'num_var28',\n 'num_var27',\n 'num_var29_0',\n 'num_var29',\n 'num_var32',\n 'num_var34_0',\n 'num_var34',\n 'num_var37',\n 'num_var40_0',\n 'num_var40',\n 'num_var41',\n 'num_var39',\n 'num_var46_0',\n 'num_var46',\n 'saldo_var18',\n 'saldo_var28',\n 'saldo_var27',\n 'saldo_var29',\n 'saldo_var34',\n 'saldo_var40',\n 'saldo_var41',\n 'saldo_var46',\n 'delta_imp_amort_var18_1y3',\n 'delta_imp_amort_var34_1y3',\n 'delta_imp_reemb_var33_1y3',\n 'delta_imp_trasp_var17_out_1y3',\n 'delta_imp_trasp_var33_out_1y3',\n 'delta_num_reemb_var13_1y3',\n 'delta_num_reemb_var17_1y3',\n 'delta_num_reemb_var33_1y3',\n 'delta_num_trasp_var17_in_1y3',\n 'delta_num_trasp_var17_out_1y3',\n 'delta_num_trasp_var33_in_1y3',\n 'delta_num_trasp_var33_out_1y3',\n 'imp_amort_var18_hace3',\n 'imp_amort_var18_ult1',\n 'imp_amort_var34_hace3',\n 'imp_amort_var34_ult1',\n 'imp_var7_emit_ult1',\n 'imp_reemb_var13_hace3',\n 'imp_reemb_var17_hace3',\n 'imp_reemb_var33_hace3',\n 'imp_reemb_var33_ult1',\n 'imp_trasp_var17_out_hace3',\n 'imp_trasp_var17_out_ult1',\n 'imp_trasp_var33_in_hace3',\n 'imp_trasp_var33_out_hace3',\n 'ind_var7_emit_ult1',\n 'num_var2_0_ult1',\n 'num_var2_ult1',\n 'num_var7_emit_ult1',\n 'num_reemb_var13_hace3',\n 'num_reemb_var17_hace3',\n 'num_reemb_var33_hace3',\n 'num_reemb_var33_ult1',\n 'num_trasp_var17_out_hace3',\n 'num_trasp_var17_out_ult1',\n 'num_trasp_var33_in_hace3',\n 'num_trasp_var33_out_hace3',\n 'saldo_var2_ult1',\n 'saldo_medio_var13_medio_hace3',\n 'saldo_medio_var13_medio_ult1',\n 'saldo_medio_var29_hace3')\n<\/code><\/pre>\n<h3 id=\"removingcorrelatedfeatures\"><span class=\"ez-toc-section\" id=\"%d8%ad%d8%b0%d9%81_%d9%88%db%8c%da%98%da%af%db%8c_%d9%87%d8%a7%db%8c_%d9%85%d8%b1%d8%aa%d8%a8%d8%b7\"><\/span>\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc\u060c \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0634\u0627\u0645\u0644 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0647\u0645\u0628\u0633\u062a\u0647 \u0646\u06cc\u0632 \u0628\u0627\u0634\u062f.  \u062f\u0648 \u06cc\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 \u062f\u0648 \u0648\u06cc\u0698\u06af\u06cc \u062f\u0631 \u0635\u0648\u0631\u062a\u06cc \u06a9\u0647 \u0628\u0647 \u0647\u0645 \u0646\u0632\u062f\u06cc\u06a9 \u0628\u0627\u0634\u0646\u062f \u062f\u0631 \u0627\u0631\u062a\u0628\u0627\u0637 \u0647\u0633\u062a\u0646\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Vector_space\">\u0641\u0636\u0627\u06cc \u062e\u0637\u06cc<\/a>.<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06cc\u06a9 \u0633\u0628\u062f \u0645\u06cc\u0648\u0647 \u0631\u0627 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f\u060c \u0648\u0632\u0646 \u0633\u0628\u062f \u0645\u06cc\u0648\u0647 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0639\u0645\u0648\u0644 \u0628\u0627 \u0642\u06cc\u0645\u062a \u0645\u0631\u062a\u0628\u0637 \u0627\u0633\u062a.  \u0647\u0631 \u0686\u0647 \u0648\u0632\u0646 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0627\u0634\u062f \u0642\u06cc\u0645\u062a \u0622\u0646 \u0646\u06cc\u0632 \u0628\u06cc\u0634\u062a\u0631 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<p>\u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0628\u06cc\u0646 \u0645\u0634\u0627\u0647\u062f\u0627\u062a \u062e\u0631\u0648\u062c\u06cc \u0648 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0645\u0647\u0645 \u0627\u0633\u062a \u0648 \u0686\u0646\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc\u06cc \u0628\u0627\u06cc\u062f \u062d\u0641\u0638 \u0634\u0648\u0646\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0627\u06af\u0631 \u062f\u0648 \u06cc\u0627 \u0628\u06cc\u0634 \u0627\u0632 \u062f\u0648 \u0648\u06cc\u0698\u06af\u06cc \u0645\u062a\u0642\u0627\u0628\u0644 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f\u060c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0627\u0636\u0627\u0641\u06cc \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f \u0648 \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648 \u062a\u0646\u0647\u0627 \u06cc\u06a9\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0628\u0627\u06cc\u062f \u062d\u0641\u0638 \u0634\u0648\u062f \u062a\u0627 \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u06a9\u0627\u0647\u0634 \u06cc\u0627\u0628\u062f.<\/p>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u0642\u0631\u0627\u0631 \u0627\u0633\u062a \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f \u0639\u0628\u0627\u0631\u062a \u0627\u0633\u062a \u0627\u0632 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.kaggle.com\/c\/bnp-paribas-cardif-claims-management\/data\">BNP Paribas Cardif Claims Management<\/a> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u0632 Kaggle \u062f\u0627\u0646\u0644\u0648\u062f \u0634\u0648\u062f.  \u0628\u0631\u0627\u06cc \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f\u0646 \u0648 \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u060c \u0627\u06cc\u0646 \u0645\u0631\u0627\u062d\u0644 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u06cc\u062f.<\/p>\n<h4 id=\"importingrequiredlibrariesanddataset\">\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632<\/h4>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">from<\/span> sklearn.model_selection <span class=\"hljs-keyword\">import<\/span> train_test_split\n<span class=\"hljs-keyword\">from<\/span> sklearn.feature_selection <span class=\"hljs-keyword\">import<\/span> VarianceThreshold\n\nparibas_data = pd.read_csv(<span class=\"hljs-string\">r\"E:\\Datasets\\paribas_data.csv\"<\/span>, nrows=<span class=\"hljs-number\">20000<\/span>)\nparibas_data.shape\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0647\u0645\u0631\u0627\u0647 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0645.  \u0628\u0639\u062f\u060c \u0634\u06a9\u0644 \u062f\u06cc\u062a\u0627\u0641\u0631\u06cc\u0645 \u062e\u0648\u062f \u0631\u0627 \u0686\u0627\u067e \u06a9\u0631\u062f\u06cc\u0645.  \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f (20000, 133) \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627 \u0634\u0627\u0645\u0644 20 \u0647\u0632\u0627\u0631 \u0631\u062f\u06cc\u0641 \u0648 133 \u0648\u06cc\u0698\u06af\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u06cc\u0627\u0641\u062a\u0646 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc\u060c \u0645\u0627 \u0641\u0642\u0637 \u0628\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u06a9\u0631\u062f\u0646 \u0647\u0645\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u060c \u0628\u0647 \u062c\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u06a9\u0646\u06cc\u0645.<\/p>\n<h4 id=\"datapreprocessing\">\u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627<\/h4>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u063a\u06cc\u0631 \u0639\u062f\u062f\u06cc \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">num_colums = (<span class=\"hljs-string\">'int16'<\/span>, <span class=\"hljs-string\">'int32'<\/span>, <span class=\"hljs-string\">'int64'<\/span>, <span class=\"hljs-string\">'float16'<\/span>, <span class=\"hljs-string\">'float32'<\/span>, <span class=\"hljs-string\">'float64'<\/span>)\nnumerical_columns = <span class=\"hljs-built_in\">list<\/span>(paribas_data.select_dtypes(include=num_colums).columns)\nparibas_data = paribas_data(numerical_columns)\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0637 \u0627\u0648\u0644 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u0644\u06cc\u0633\u062a\u06cc \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0627\u0646\u0648\u0627\u0639 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0646\u06af\u0647 \u062f\u0627\u0631\u06cc\u0645.  \u0628\u0639\u062f\u060c \u0645\u0627 \u0631\u0627 \u0635\u062f\u0627 \u0645\u06cc \u0632\u0646\u06cc\u0645 <code>select_dtypes()<\/code> \u0631\u0648\u0634 \u0631\u0648\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627 \u0648 \u0627\u0631\u0633\u0627\u0644 \u0622\u0646 <code>num_colums<\/code> \u0644\u06cc\u0633\u062a\u06cc \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0646\u0648\u0639 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062d\u0641\u0638 \u06a9\u0646\u06cc\u0645.  \u0627\u06cc\u0646 <code>select_dtypes()<\/code> \u0645\u062a\u062f \u0646\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0639\u062f\u062f\u06cc \u0645\u0634\u062e\u0635 \u0634\u062f\u0647 \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u0644\u06cc\u0633\u062a \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f <code>numeric_columns<\/code>.  \u0633\u067e\u0633\u060c \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0642\u0633\u0645\u062a \u0641\u06cc\u0644\u062a\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>paribas_data<\/code> \u0686\u0627\u0631\u0686\u0648\u0628 \u062f\u0627\u062f\u0647 \u0628\u0627 \u06a9\u0645\u06a9 <code>numerical_colums<\/code> \u0641\u0647\u0631\u0633\u062a  \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f print \u0634\u06a9\u0644 \u0627\u0632 <code>paribas_data<\/code> dataframe \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0686\u0646\u062f \u0633\u062a\u0648\u0646 \u0639\u062f\u062f\u06cc \u062f\u0627\u0631\u06cc\u0645\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">paribas_data.shape\n<\/code><\/pre>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0627\u06cc\u062f (20000, 114) \u0631\u0627 \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627 \u0634\u0627\u0645\u0644 20 \u0647\u0632\u0627\u0631 \u0631\u06a9\u0648\u0631\u062f \u0648 114 \u0648\u06cc\u0698\u06af\u06cc \u0627\u0633\u062a.  \u0628\u0647 \u06cc\u0627\u062f \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f\u060c \u0642\u0628\u0644\u0627 133 \u0648\u06cc\u0698\u06af\u06cc \u062f\u0627\u0634\u062a\u06cc\u0645.<\/p>\n<h4 id=\"splittingdataintotrainingandtestsets\">\u062a\u0642\u0633\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc<\/h4>\n<p>\u0637\u0628\u0642 \u0645\u0639\u0645\u0648\u0644\u060c \u0642\u0628\u0644 \u0627\u0632 \u062d\u0630\u0641 \u0647\u0631 \u06af\u0648\u0646\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0645\u0631\u062a\u0628\u0637\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645\u060c \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645 \u062a\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062a\u0642\u0633\u06cc\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">train_features, test_features, train_labels, test_labels = train_test_split(\n    paribas_data.drop(labels=(<span class=\"hljs-string\">'target'<\/span>, <span class=\"hljs-string\">'ID'<\/span>), axis=<span class=\"hljs-number\">1<\/span>),\n    paribas_data(<span class=\"hljs-string\">'target'<\/span>),\n    test_size=<span class=\"hljs-number\">0.2<\/span>,\n    random_state=<span class=\"hljs-number\">41<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 80% \u0622\u0645\u0648\u0632\u0634 \u0648 20% \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<h4 id=\"removingcorrelatedfeaturesusingcorrmethod\">\u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634 ()corr<\/h4>\n<p>\u0628\u0631\u0627\u06cc \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>corr()<\/code> \u0631\u0648\u0634 \u0686\u0627\u0631\u0686\u0648\u0628 \u062f\u0627\u062f\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627  \u0627\u06cc\u0646 <code>corr()<\/code> \u0645\u062a\u062f \u06cc\u06a9 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u062d\u0627\u0648\u06cc \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0628\u06cc\u0646 \u062a\u0645\u0627\u0645 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0686\u0627\u0631\u0686\u0648\u0628 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u062f.  \u0633\u067e\u0633 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u062d\u0644\u0642\u0647 \u0628\u0632\u0646\u06cc\u0645 \u0648 \u0628\u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0622\u06cc\u0627 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0628\u06cc\u0646 \u062f\u0648 \u0633\u062a\u0648\u0646 \u0627\u0632 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0622\u0633\u062a\u0627\u0646\u0647 \u0628\u06cc\u0634\u062a\u0631 \u0627\u0633\u062a\u060c \u0622\u0646 \u0633\u062a\u0648\u0646 \u0631\u0627 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0647\u0645\u0628\u0633\u062a\u0647 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0633\u062a\u0648\u0646 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648\u0627\u0642\u0639\u06cc \u062d\u0630\u0641 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0628\u0631\u0627\u06cc \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062e\u0627\u0644\u06cc \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0627\u0645\u0644 \u062a\u0645\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0628\u0627\u0634\u062f.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">correlated_features = <span class=\"hljs-built_in\">set<\/span>()\ncorrelation_matrix = paribas_data.corr()\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u06cc\u06a9 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>correlation_matrix<\/code> \u0628\u0631\u0627\u06cc \u062a\u0645\u0627\u0645 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627.  \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0647\u0645 \u062f\u0631\u0633\u062a \u06a9\u0631\u062f\u06cc\u0645 <code>correlated_features<\/code> \u06a9\u0647 \u062d\u0627\u0648\u06cc \u0646\u0627\u0645 \u062a\u0645\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<p>\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f\u060c \u062a\u0645\u0627\u0645 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0642\u0633\u0645\u062a \u0631\u0627 \u062d\u0644\u0642\u0647 \u0645\u06cc\u200c\u0632\u0646\u06cc\u0645 <code>correlation_matrix<\/code> \u0648 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0642\u062f\u0627\u0631 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc 0.8 \u0631\u0627 \u0628\u0647 \u0633\u062a\u0648\u0646 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u062f <code>correlated_features<\/code> \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f.  \u0634\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0647\u0631 \u0645\u0642\u062f\u0627\u0631 \u0622\u0633\u062a\u0627\u0646\u0647 \u0627\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-built_in\">len<\/span>(correlation_matrix .columns)):\n    <span class=\"hljs-keyword\">for<\/span> j <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(i):\n        <span class=\"hljs-keyword\">if<\/span> <span class=\"hljs-built_in\">abs<\/span>(correlation_matrix.iloc(i, j)) &gt; <span class=\"hljs-number\">0.8<\/span>:\n            colname = correlation_matrix.columns(i)\n            correlated_features.add(colname)\n<\/code><\/pre>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u062a\u0639\u062f\u0627\u062f \u06a9\u0644 \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0645\u0642\u062f\u0627\u0631 \u0647\u0645\u0628\u0633\u062a\u06af\u06cc \u0628\u06cc\u0634\u062a\u0631 \u0627\u0632 0.8 \u0628\u0627 \u062d\u062f\u0627\u0642\u0644 1 \u0633\u062a\u0648\u0646 \u062f\u06cc\u06af\u0631 \u0628\u0628\u06cc\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">len<\/span>(correlated_features)\n<\/code><\/pre>\n<p>\u0634\u0645\u0627 \u0628\u0627\u06cc\u062f 55 \u0631\u0627 \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u0628\u0628\u06cc\u0646\u06cc\u062f\u060c \u06a9\u0647 \u062a\u0642\u0631\u06cc\u0628\u0627\u064b 40\u066a \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0645\u0627 \u0686\u0647 \u0645\u0642\u062f\u0627\u0631 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0627\u0636\u0627\u0641\u06cc \u062f\u0627\u0631\u062f.  \u0628\u0631\u0627\u06cc \u0645\u0634\u0627\u0647\u062f\u0647 \u0646\u0627\u0645 \u0627\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-built_in\">print<\/span>(correlated_features)\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">{'v55', 'v105', 'v130', 'v12', 'v60', 'v67', 'v63', 'v46', 'v53', 'v43', 'v68', 'v123', 'v95', 'v103', 'v44', 'v108', 'v89', 'v104', 'v109', 'v83', 'v115', 'v21', 'v101', 'v93', 'v40', 'v78', 'v54', 'v118', 'v124', 'v73', 'v96', 'v121', 'v77', 'v114', 'v48', 'v116', 'v87', 'v86', 'v65', 'v122', 'v64', 'v81', 'v128', 'v49', 'v37', 'v84', 'v98', 'v111', 'v41', 'v25', 'v106', 'v32', 'v126', 'v76', 'v100'}\n<\/code><\/pre>\n<p>\u0646\u0627\u0645 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u062a\u0648\u0633\u0637 \u0628\u0627\u0646\u06a9 \u067e\u0646\u0647\u0627\u0646 \u0634\u062f\u0647 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u062d\u0627\u0648\u06cc \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062d\u0633\u0627\u0633 \u0647\u0633\u062a\u0646\u062f\u060c \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0627\u0645 \u06a9\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f.  \u0627\u06cc\u0646 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0634\u0627\u0628\u0647\u06cc \u0631\u0627 \u0628\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u06a9\u0646\u0646\u062f \u0648 \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0627\u06cc\u062f \u062d\u0630\u0641 \u0634\u0648\u0646\u062f.<\/p>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0627\u06cc\u0646 \u0633\u062a\u0648\u0646 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062d\u0630\u0641 \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">train_features.drop(labels=correlated_features, axis=1, inplace=True)\ntest_features.drop(labels=correlated_features, axis=1, inplace=True)\n<\/code><\/pre>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0646\u0642\u0634\u06cc \u062d\u06cc\u0627\u062a\u06cc \u062f\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0648 \u0622\u0645\u0648\u0632\u0634 \u0647\u0631 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0627\u06cc\u0641\u0627 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0634\u062f\u0647 \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0628\u0631\u0631\u0633\u06cc \u0627\u0646\u0648\u0627\u0639 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u067e\u0631\u062f\u0627\u062e\u062a\u06cc\u0645.<\/p>\n<p>\u0645\u0627 \u0628\u062d\u062b \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062b\u0627\u0628\u062a \u0648 \u0634\u0628\u0647 \u062b\u0627\u0628\u062a \u0648 \u0633\u067e\u0633 \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u062a\u06a9\u0631\u0627\u0631\u06cc \u0634\u0631\u0648\u0639 \u06a9\u0631\u062f\u06cc\u0645.  \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0631\u0648\u0634 \u062d\u0630\u0641 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0647\u0645\u0628\u0633\u062a\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062e\u0648\u062f \u0631\u0627 \u0645\u0637\u0627\u0644\u0639\u0647 \u06a9\u0631\u062f\u06cc\u0645.<\/p>\n<p>\u062f\u0631 \u0645\u0642\u0627\u0644\u0647 \u0628\u0639\u062f\u06cc \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0627\u0646\u0648\u0627\u0639 \u062f\u06cc\u06af\u0631 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a.  \u062a\u0627 \u0622\u0646 \u0632\u0645\u0627\u0646\u060c \u06a9\u062f \u0646\u0648\u06cc\u0633\u06cc \u0645\u0628\u0627\u0631\u06a9!<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-26 13:07:03<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16532&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0641\u06cc\u0644\u062a\u0631 \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 12<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u06cc\u0627\u062f \u0645\u06cc\u200c\u06af\u06cc\u0631\u0646\u062f \u06a9\u0647 \u0627\u0632 \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647\u200c\u0627\u0646\u062f. \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0647 \u0634\u062f\u062a \u0628\u0633\u062a\u06af\u06cc \u062f\u0627\u0631\u062f \u0631\u0648\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u0648\u062c\u0648\u062f \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0631 \u062d\u0627\u0644\u062a \u0627\u06cc\u062f\u0647\u200c\u0622\u0644\u060c \u0645\u0627 \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0622\u0646 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u062d\u0641\u0638 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u062f\u0631 \u0648\u0627\u0642\u0639 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":9759,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16532","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=16532"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16532\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/9759"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16532"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16532"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}