{"id":14509,"date":"2024-01-05T10:26:22","date_gmt":"2024-01-05T06:56:22","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%ae%d9%88%d8%b4%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%b3%d9%84%d8%b3%d9%84%d9%87-%d9%85%d8%b1%d8%a7%d8%aa%d8%a8%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/"},"modified":"2024-01-05T10:26:22","modified_gmt":"2024-01-05T06:56:22","slug":"%d8%ae%d9%88%d8%b4%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%b3%d9%84%d8%b3%d9%84%d9%87-%d9%85%d8%b1%d8%a7%d8%aa%d8%a8%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%ae%d9%88%d8%b4%d9%87-%d8%a8%d9%86%d8%af%db%8c-%d8%b3%d9%84%d8%b3%d9%84%d9%87-%d9%85%d8%b1%d8%a7%d8%aa%d8%a8%db%8c-%d8%af%d8%b1-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%d8%a7-scikit-learn\/","title":{"rendered":"\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Scikit-Learn"},"content":{"rendered":"<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\"> 2<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<p>\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u062a\u062c\u0645\u0639\u06cc \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a \u0627\u0633\u062a \u06a9\u0647 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u067e\u06cc\u0648\u0646\u062f \u0645\u06cc \u062f\u0647\u062f. \u0631\u0648\u06cc \u0641\u0627\u0635\u0644\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0634\u06a9\u06cc\u0644 \u06cc\u06a9 \u062e\u0648\u0634\u0647\u060c \u0648 \u0633\u067e\u0633 \u0622\u0646 \u0646\u0642\u0627\u0637 \u0627\u0632 \u0642\u0628\u0644 \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u062e\u0648\u0634\u0647 \u062f\u06cc\u06af\u0631 \u067e\u06cc\u0648\u0646\u062f \u0645\u06cc\u200c\u062f\u0647\u062f \u0648 \u0633\u0627\u062e\u062a\u0627\u0631\u06cc \u0627\u0632 \u062e\u0648\u0634\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u0627 \u062e\u0648\u0634\u0647\u200c\u0647\u0627\u06cc \u0641\u0631\u0639\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Scikit-Learn \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u067e\u06cc\u0648\u0646\u062f \u062a\u06a9\u060c \u0645\u062a\u0648\u0633\u0637\u060c \u06a9\u0627\u0645\u0644 \u0648 \u0628\u062e\u0634 \u0631\u0627 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u062f\u0627\u0631\u062f\u060c \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<blockquote>\n<p>\u0627\u06af\u0631 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u06cc\u06a9 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0639\u0645\u06cc\u0642 \u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u0628\u062e\u0648\u0627\u0646\u06cc\u062f\u060c \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u0645\u0627 \u0631\u0627 \u0628\u0627 Python \u0648 Scikit-Learn \u0628\u062e\u0648\u0627\u0646\u06cc\u062f&#8221;!<\/p>\n<\/blockquote>\n<p>\u0628\u0631\u0627\u06cc \u062a\u062c\u0633\u0645 \u0633\u0627\u062e\u062a\u0627\u0631 \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u062e\u0648\u0634\u0647 \u0647\u0627\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f <em>\u067e\u0646\u06af\u0648\u0626\u0646 \u0647\u0627\u06cc \u067e\u0627\u0644\u0645\u0631<\/em> \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u0633\u062a\u0648\u0646\u200c\u0647\u0627\u06cc\u06cc \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0645\u06cc\u200c\u0634\u0648\u0646\u062f \u0648 \u0627\u0632 SciPy \u0628\u0631\u0627\u06cc \u0631\u0633\u0645 \u062f\u0646\u062f\u0631\u0648\u06af\u0631\u0627\u0645 \u0627\u0632 \u0632\u06cc\u0631 \u062e\u0648\u0634\u0647\u200c\u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<div class=\"alert alert-note\">\n<div class=\"flex\">\n<div class=\"flex-shrink-0 mr-3\"><\/div>\n<div class=\"w-full\">\n<p><strong>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f<\/strong>: \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u0632 \u0627\u06cc\u0646\u062c\u0627 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f <a href=\"https:\/\/gist.github.com\/slopp\/ce3b90b9168f2f921784de84fa445651\" target=\"_blank\" rel=\"noopener\">\u0627\u0631\u062a\u0628\u0627\u0637 \u062f\u0627\u062f\u0646<\/a>.<\/p>\n<\/p><\/div><\/div><\/div>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0648 \u0628\u0627\u0631\u06af\u0630\u0627\u0631\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u067e\u0646\u06af\u0648\u0626\u0646 \u0647\u0627\u060c \u0628\u0631\u0634 \u0622\u0646 \u0628\u0647 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0634\u062f\u0647 \u0648 \u0631\u0647\u0627 \u06a9\u0631\u062f\u0646 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 (\u0641\u0642\u0637 2 \u0645\u0648\u0631\u062f \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f):<\/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> seaborn <span class=\"hljs-keyword\">as<\/span> sns\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">from<\/span> sklearn.cluster <span class=\"hljs-keyword\">import<\/span> AgglomerativeClustering\n<span class=\"hljs-keyword\">from<\/span> scipy.cluster <span class=\"hljs-keyword\">import<\/span> hierarchy\n\ndf = pd.read_csv(<span class=\"hljs-string\">'penguins.csv'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(df.shape) \ndf = df((<span class=\"hljs-string\">'bill_length_mm'<\/span>, <span class=\"hljs-string\">'flipper_length_mm'<\/span>))\ndf = df.dropna(axis=<span class=\"hljs-number\">0<\/span>)\n<\/code><\/pre>\n<p>\u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 SciPy \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>hierarchy.linkage()<\/code> \u0628\u0631\u0627\u06cc \u062a\u0634\u06a9\u06cc\u0644 \u062e\u0648\u0634\u0647 \u0647\u0627 \u0648 \u0631\u0633\u0645 \u0622\u0646\u0647\u0627 <code>hierarchy.dendrogram()<\/code>:<\/p>\n<pre><code class=\"hljs\">clusters = hierarchy.linkage(df, method=<span class=\"hljs-string\">\"ward\"<\/span>)\n\nplt.figure(figsize=(<span class=\"hljs-number\">8<\/span>, <span class=\"hljs-number\">6<\/span>))\ndendrogram = hierarchy.dendrogram(clusters)\n\nplt.axhline(<span class=\"hljs-number\">150<\/span>, color=<span class=\"hljs-string\">'red'<\/span>, linestyle=<span class=\"hljs-string\">'--'<\/span>); \n\nplt.axhline(<span class=\"hljs-number\">100<\/span>, color=<span class=\"hljs-string\">'crimson'<\/span>); \n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/agglomerative-hierarchical-clustering-with-scikit-learn-1.png\" alt=\"\u062f\u0646\u062f\u0631\u0648\u06af\u0631\u0627\u0645 \u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc\" title=\"\"><\/p>\n<blockquote>\n<p>\u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u062f\u0646\u062f\u0631\u0648\u06af\u0631\u0627\u0645 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u062a\u0639\u062f\u0627\u062f \u062e\u0648\u0634\u0647 \u0647\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f \u062a\u0646\u0647\u0627 \u06cc\u06a9 \u0645\u0631\u062c\u0639 \u0627\u0633\u062a.  \u0645\u0627 \u0642\u0628\u0644\u0627\u064b \u0645\u06cc \u062f\u0627\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u0627 3 \u0646\u0648\u0639 \u067e\u0646\u06af\u0648\u0626\u0646 \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u062f\u0627\u0631\u06cc\u0645\u060c \u0627\u0645\u0627 \u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u062a\u0639\u062f\u0627\u062f \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0627 \u062f\u0646\u062f\u0631\u0648\u06af\u0631\u0627\u0645 \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0646\u06cc\u0645\u060c 2 \u06af\u0632\u06cc\u0646\u0647 \u0627\u0648\u0644 \u0648 3 \u06af\u0632\u06cc\u0646\u0647 \u062f\u0648\u0645 \u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<\/blockquote>\n<p>\u0627\u06a9\u0646\u0648\u0646\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 Scikit-Learn \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u062c\u0645\u0639\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645 \u062a\u0627 \u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627\u06cc \u062e\u0648\u0634\u0647\u200c\u0627\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0633\u0647 \u0646\u0648\u0639 \u067e\u0646\u06af\u0648\u0626\u0646 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">clustering_model = AgglomerativeClustering(n_clusters=<span class=\"hljs-number\">3<\/span>, linkage=<span class=\"hljs-string\">\"ward\"<\/span>)\nclustering_model.fit(df)\nlabels = clustering_model.labels_\n<\/code><\/pre>\n<p>\u0648 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0642\u0628\u0644 \u0648 \u0628\u0639\u062f \u0627\u0632 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0627\u0646\u0628\u0627\u0634\u062a\u0647 \u0628\u0627 3 \u062e\u0648\u0634\u0647 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">fig, axes = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">2<\/span>, figsize=(<span class=\"hljs-number\">15<\/span>,<span class=\"hljs-number\">5<\/span>))\nsns.scatterplot(ax=axes(<span class=\"hljs-number\">0<\/span>), data=df, x=<span class=\"hljs-string\">'bill_length_mm'<\/span>, y=<span class=\"hljs-string\">'flipper_length_mm'<\/span>).set_title(<span class=\"hljs-string\">'Without clustering'<\/span>)\nsns.scatterplot(ax=axes(<span class=\"hljs-number\">1<\/span>), data=df, x=<span class=\"hljs-string\">'bill_length_mm'<\/span>, y=<span class=\"hljs-string\">'flipper_length_mm'<\/span>, hue=clustering_model.labels_).set_title(<span class=\"hljs-string\">'With clustering'<\/span>);\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/agglomerative-hierarchical-clustering-with-scikit-learn-2.png\" alt=\"\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc sklearn\" title=\"\"><\/p>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u062c\u0645\u0639\u06cc\u060c \u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062a\u0639\u06cc\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f \u062e\u0648\u0634\u0647\u200c\u0647\u0627 \u0646\u062f\u0627\u0631\u06cc\u062f.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 \u062f\u0646\u062f\u0631\u0648\u06af\u0631\u0627\u0645 \u062f\u06cc\u062f\u06cc\u0645\u060c \u0627\u06af\u0631 \u062a\u0639\u062f\u0627\u062f \u062e\u0648\u0634\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u062e\u0648\u062f \u0631\u0627 \u062a\u0639\u06cc\u06cc\u0646 \u0646\u06a9\u0646\u06cc\u0645\u060c \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0639\u0645\u0648\u0644\u0627 \u0646\u0642\u0627\u0637 \u0631\u0627 \u0628\u0647 2 \u062e\u0648\u0634\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0627\u0646\u0628\u0648\u0647\u06cc \u0631\u0627 \u0628\u062f\u0648\u0646 \u0645\u0634\u062e\u0635 \u06a9\u0631\u062f\u0646 \u062a\u0639\u062f\u0627\u062f \u062e\u0648\u0634\u0647\u200c\u0647\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u0645 \u0648 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u062f\u0648\u0646 \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u062a\u062c\u0645\u0639\u06cc \u0628\u0627 3 \u062e\u0648\u0634\u0647 \u0648 \u0628\u062f\u0648\u0646 \u062e\u0648\u0634\u0647\u200c\u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u062a\u0639\u0631\u06cc\u0641\u200c\u0634\u062f\u0647 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">clustering_model_no_clusters = AgglomerativeClustering(linkage=<span class=\"hljs-string\">\"ward\"<\/span>)\nclustering_model_no_clusters.fit(df)\nlabels_no_clusters = clustering_model_no_clusters.labels_\n<\/code><\/pre>\n<p>\u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u062f\u0648\u0646 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u062a\u062c\u0645\u0639\u06cc\u060c \u0628\u0627 3 \u062e\u0648\u0634\u0647 \u0648 \u0628\u062f\u0648\u0646 \u062e\u0648\u0634\u0647 \u0647\u0627\u06cc \u0627\u0632 \u067e\u06cc\u0634 \u062a\u0639\u0631\u06cc\u0641 \u0634\u062f\u0647 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">fig, axes = plt.subplots(nrows=<span class=\"hljs-number\">1<\/span>, ncols=<span class=\"hljs-number\">3<\/span>, figsize=(<span class=\"hljs-number\">15<\/span>,<span class=\"hljs-number\">5<\/span>))\nsns.scatterplot(ax=axes(<span class=\"hljs-number\">0<\/span>), data=df, x=<span class=\"hljs-string\">'bill_length_mm'<\/span>, y=<span class=\"hljs-string\">'flipper_length_mm'<\/span>).set_title(<span class=\"hljs-string\">'Without clustering'<\/span>)\nsns.scatterplot(ax=axes(<span class=\"hljs-number\">1<\/span>), data=df, x=<span class=\"hljs-string\">'bill_length_mm'<\/span>, y=<span class=\"hljs-string\">'flipper_length_mm'<\/span>, hue=clustering.labels_).set_title(<span class=\"hljs-string\">'With 3 clusters'<\/span>)\nsns.scatterplot(ax=axes(<span class=\"hljs-number\">2<\/span>), data=df, x=<span class=\"hljs-string\">'bill_length_mm'<\/span>, y=<span class=\"hljs-string\">'flipper_length_mm'<\/span>, hue=clustering_model_no_clusters.labels_).set_title(<span class=\"hljs-string\">'Without choosing number of clusters'<\/span>);\n<\/code><\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/agglomerative-hierarchical-clustering-with-scikit-learn-3.png\" alt=\"\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc scikit\" title=\"\">\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 1403-01-05 10:26:03<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;14509&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;\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0627 Scikit-Learn&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        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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\"> 2<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u062a\u062c\u0645\u0639\u06cc \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a \u0627\u0633\u062a \u06a9\u0647 \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u067e\u06cc\u0648\u0646\u062f \u0645\u06cc \u062f\u0647\u062f. \u0631\u0648\u06cc \u0641\u0627\u0635\u0644\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0634\u06a9\u06cc\u0644 \u06cc\u06a9 \u062e\u0648\u0634\u0647\u060c \u0648 \u0633\u067e\u0633 \u0622\u0646 \u0646\u0642\u0627\u0637 \u0627\u0632 \u0642\u0628\u0644 \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u062e\u0648\u0634\u0647 \u062f\u06cc\u06af\u0631 \u067e\u06cc\u0648\u0646\u062f \u0645\u06cc\u200c\u062f\u0647\u062f \u0648 \u0633\u0627\u062e\u062a\u0627\u0631\u06cc \u0627\u0632 \u062e\u0648\u0634\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u0627 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[&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":14510,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-14509","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\/14509","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=14509"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/14509\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/14510"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=14509"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=14509"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=14509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}