{"id":478838,"date":"2023-08-09T09:39:01","date_gmt":"2023-08-09T09:39:01","guid":{"rendered":""},"modified":"2023-09-05T11:17:40","modified_gmt":"2023-09-05T11:17:40","slug":"scikit-learn","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/ir\/wiki\/scikit-learn\/","title":{"rendered":"Scikit- Learn"},"content":{"rendered":"<p>Scikit-learn \u06a9\u0647 \u0628\u0627 \u0646\u0627\u0645 sklearn \u0646\u06cc\u0632 \u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u0645\u062d\u0628\u0648\u0628 \u0628\u0631\u0627\u06cc \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a. \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0631\u0622\u0645\u062f\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u06a9\u0627\u0648\u06cc\u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0648\u0638\u0627\u06cc\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f. 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\u06a9\u062f \u06af\u0648\u06af\u0644 \u062a\u0648\u0633\u0639\u0647 \u06cc\u0627\u0641\u062a. \u0647\u062f\u0641 \u0627\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647 \u0627\u0631\u0627\u0626\u0647 \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u06a9\u0627\u0631\u0628\u0631\u067e\u0633\u0646\u062f \u0628\u0648\u062f \u06a9\u0647 \u0628\u0631\u0627\u06cc \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646\u060c \u0645\u062d\u0642\u0642\u0627\u0646 \u0648 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0642\u0627\u0628\u0644 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0627\u0634\u062f. \u0628\u0627 \u06af\u0630\u0634\u062a \u0633\u0627\u0644\u0647\u0627\u060c \u0645\u062d\u0628\u0648\u0628\u06cc\u062a \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u0641\u0632\u0627\u06cc\u0634 \u06cc\u0627\u0641\u062a\u0647 \u0648 \u0628\u0647 \u0633\u0646\u06af \u0628\u0646\u0627\u06cc \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<h2>\u0627\u0637\u0644\u0627\u0639\u0627\u062a \u062f\u0642\u06cc\u0642 \u062f\u0631 \u0645\u0648\u0631\u062f Scikit-learn<\/h2>\n<p>Scikit-learn \u0645\u062c\u0645\u0648\u0639\u0647 \u0645\u062a\u0646\u0648\u0639\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc\u060c \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f \u0648 \u0645\u0648\u0627\u0631\u062f \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u062f\u0647\u062f. \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u06af\u0633\u062a\u0631\u062f\u0647 \u0648 \u0637\u0631\u0627\u062d\u06cc \u0633\u0627\u062f\u0647 API \u0622\u0646\u060c \u062f\u0631\u06a9 \u0648 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0622\u0633\u0627\u0646 \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0633\u0627\u06cc\u0631 \u0628\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0627\u0646\u0646\u062f NumPy\u060c SciPy \u0648 Matplotlib \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0642\u0627\u0628\u0644\u06cc\u062a\u200c\u0647\u0627 \u0648 \u0627\u062f\u063a\u0627\u0645 \u0622\u0646 \u0628\u0627 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 \u06af\u0633\u062a\u0631\u062f\u0647\u200c\u062a\u0631 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/p>\n<h2>\u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0631\u0648\u0646\u06cc Scikit-learn<\/h2>\n<p>Scikit-learn \u0627\u0632 \u0637\u0631\u0627\u062d\u06cc \u0645\u062f\u0648\u0644\u0627\u0631 \u067e\u06cc\u0631\u0648\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0628\u0647 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u062e\u062a\u0631\u0627\u0639 \u0645\u062c\u062f\u062f \u0686\u0631\u062e\u060c \u0628\u0631 \u062c\u0646\u0628\u0647 \u0647\u0627\u06cc \u062e\u0627\u0635\u06cc \u0627\u0632 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\u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.<\/li>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a<\/strong>: \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc\u060c \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0627\u0647\u0646\u062c\u0627\u0631\u06cc \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.<\/li>\n<li><strong>\u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/strong>: \u0634\u0627\u0645\u0644 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u062f\u0644\u060c \u062a\u0646\u0638\u06cc\u0645 \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0639\u062a\u0628\u0627\u0631\u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0628\u0644 \u0627\u0633\u062a.<\/li>\n<\/ul>\n<h2>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc Scikit-learn<\/h2>\n<p>\u0645\u062d\u0628\u0648\u0628\u06cc\u062a Scikit-Learn \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc \u0622\u0646 \u0646\u0627\u0634\u06cc \u0645\u06cc \u0634\u0648\u062f:<\/p>\n<ul>\n<li><strong>\u0622\u0633\u0627\u0646 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/strong>: API \u062b\u0627\u0628\u062a Scikit-learn \u0648 \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0628\u0647 \u062e\u0648\u0628\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u062f\u0647\u06cc \u0634\u062f\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u0627\u0646\u06cc \u0628\u0627 \u0633\u0637\u0648\u062d \u0645\u062e\u062a\u0644\u0641 \u062a\u062e\u0635\u0635 \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f.<\/li>\n<li><strong>\u0627\u0646\u062a\u062e\u0627\u0628 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645<\/strong>: \u0645\u062c\u0645\u0648\u0639\u0647 \u06af\u0633\u062a\u0631\u062f\u0647 \u0627\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0648\u0638\u0627\u06cc\u0641 \u0648 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.<\/li>\n<li><strong>\u0627\u0646\u062c\u0645\u0646 \u0648 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc<\/strong>: \u062c\u0627\u0645\u0639\u0647 \u0641\u0639\u0627\u0644 \u0628\u0647 \u0631\u0634\u062f \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0627\u0632 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u0645\u0646\u0638\u0645 \u0648 \u0631\u0641\u0639 \u0627\u0634\u06a9\u0627\u0644 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/li>\n<li><strong>\u0627\u062f\u063a\u0627\u0645<\/strong>: Scikit-learn \u0628\u0647 \u0637\u0648\u0631 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0628\u0627 \u0633\u0627\u06cc\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u062f\u063a\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u0631\u062a\u0627\u0633\u0631 \u0631\u0627 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/li>\n<li><strong>\u0628\u0647\u0631\u0647 \u0648\u0631\u06cc<\/strong>: \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0647\u06cc\u0646\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0645\u0648\u062b\u0631 \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u06cc \u06a9\u0646\u062f.<\/li>\n<li><strong>\u062a\u062d\u0635\u06cc\u0644\u0627\u062a<\/strong>: \u0631\u0627\u0628\u0637 \u06a9\u0627\u0631\u0628\u0631 \u067e\u0633\u0646\u062f \u0622\u0646 \u0628\u0647 \u0648\u06cc\u0698\u0647 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a.<\/li>\n<\/ul>\n<h2>\u0627\u0646\u0648\u0627\u0639 Scikit-learn \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0622\u0646\u0647\u0627<\/h2>\n<p>Scikit-learn \u0627\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627 \u0631\u0627 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0647\u062f\u0641 \u062e\u0627\u0635\u06cc \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u0645\u06cc \u06a9\u0646\u0646\u062f:<\/p>\n<ul>\n<li><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/strong>: \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0646\u062a\u0627\u06cc\u062c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u062f\u0647\u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0647\u0631\u0632\u0646\u0627\u0645\u0647 \u06cc\u0627 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0631\u06af\u0631\u0633\u06cc\u0648\u0646<\/strong>: \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0639\u062f\u062f\u06cc \u067e\u06cc\u0648\u0633\u062a\u0647 \u0645\u0627\u0646\u0646\u062f \u0642\u06cc\u0645\u062a \u0645\u0633\u06a9\u0646 \u06cc\u0627 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc<\/strong>: \u0628\u0631\u0627\u06cc \u06af\u0631\u0648\u0647 \u0628\u0646\u062f\u06cc \u0646\u0642\u0627\u0637 \u062f\u0627\u062f\u0647 \u0645\u0634\u0627\u0628\u0647 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0634\u0628\u0627\u0647\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f<\/strong>: \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u062a\u0639\u062f\u0627\u062f \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0628\u0627 \u062d\u0641\u0638 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li><strong>\u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/strong>: \u06a9\u0645\u06a9 \u0628\u0647 \u0627\u0646\u062a\u062e\u0627\u0628 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u062f\u0644 \u0648 \u062a\u0646\u0638\u06cc\u0645 \u0641\u0631\u0627\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0622\u0646.<\/li>\n<\/ul>\n<table>\n<thead>\n<tr>\n<th>\u0646\u0648\u0639 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645<\/th>\n<th>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u0645\u062b\u0627\u0644<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc<\/td>\n<td>\u062f\u0631\u062e\u062a\u0627\u0646 \u062a\u0635\u0645\u06cc\u0645\u060c \u062c\u0646\u06af\u0644 \u0647\u0627\u06cc \u062a\u0635\u0627\u062f\u0641\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u067e\u0633\u0631\u0641\u062a<\/td>\n<td>\u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc\u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0631\u06cc\u062c<\/td>\n<\/tr>\n<tr>\n<td>\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc<\/td>\n<td>K-Means\u060c DBSCAN<\/td>\n<\/tr>\n<tr>\n<td>\u06a9\u0627\u0647\u0634 \u0627\u0628\u0639\u0627\u062f<\/td>\n<td>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc (PCA)<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0646\u062a\u062e\u0627\u0628 \u0648 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/td>\n<td>GridSearchCV\u060c cross_val_score<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Scikit-Learn\u060c \u0645\u0634\u06a9\u0644\u0627\u062a \u0648 \u0631\u0627\u0647\u200c\u062d\u0644\u200c\u0647\u0627<\/h2>\n<p>Scikit-Learn \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0647 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f:<\/p>\n<ol>\n<li><strong>\u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/strong>: \u0628\u0627\u0631\u06af\u06cc\u0631\u06cc\u060c \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0648 \u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0627\u0698\u0648\u0644 \u0647\u0627\u06cc \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634.<\/li>\n<li><strong>\u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644<\/strong>: \u06cc\u06a9 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0646\u0627\u0633\u0628 \u0631\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u06a9\u0646\u06cc\u062f\u060c \u0645\u062f\u0644 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f\u060c \u0648 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0631\u0627 \u062f\u0642\u06cc\u0642 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f.<\/li>\n<li><strong>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/strong>: \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627 \u0648 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0627\u0639\u062a\u0628\u0627\u0631 \u0633\u0646\u062c\u06cc \u0645\u062a\u0642\u0627\u0628\u0644.<\/li>\n<li><strong>\u06af\u0633\u062a\u0631\u0634<\/strong>: \u0627\u062f\u063a\u0627\u0645 \u0645\u062f\u0644 \u0622\u0645\u0648\u0632\u0634 \u062f\u06cc\u062f\u0647 \u062f\u0631 \u0633\u06cc\u0633\u062a\u0645 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc.<\/li>\n<\/ol>\n<p>\u0645\u0633\u0627\u0626\u0644 \u0648 \u0631\u0627\u0647\u200c\u062d\u0644\u200c\u0647\u0627\u06cc \u0631\u0627\u06cc\u062c \u0634\u0627\u0645\u0644 \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0646\u0627\u0645\u062a\u0639\u0627\u062f\u0644\u060c \u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637\u060c \u0648 \u0631\u0633\u06cc\u062f\u06af\u06cc \u0628\u0647 \u062a\u0637\u0628\u06cc\u0642 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0645\u0646\u0638\u0645\u200c\u0633\u0627\u0632\u06cc \u0627\u0633\u062a.<\/p>\n<h2>\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0648 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0645\u0634\u0627\u0628\u0647<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u062c\u0646\u0628\u0647<\/th>\n<th>Scikit- Learn<\/th>\n<th>TensorFlow \/ PyTorch<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u062a\u0645\u0631\u06a9\u0632<\/td>\n<td>\u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0639\u0645\u0648\u0645\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/td>\n<td>\u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/td>\n<\/tr>\n<tr>\n<td>\u0631\u0627\u062d\u062a\u06cc \u062f\u0631 \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/td>\n<td>\u06a9\u0627\u0631\u0628\u0631 \u067e\u0633\u0646\u062f\u060c API \u0633\u0627\u062f\u0647<\/td>\n<td>\u067e\u06cc\u0686\u06cc\u062f\u0647 \u062a\u0631\u060c \u0628\u0647 \u062e\u0635\u0648\u0635 TensorFlow<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0646\u0648\u0639 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645<\/td>\n<td>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062c\u0627\u0645\u0639 \u0648 \u0645\u062a\u0646\u0648\u0639<\/td>\n<td>\u062f\u0631 \u062f\u0631\u062c\u0647 \u0627\u0648\u0644 \u0628\u0631 \u0631\u0648\u06cc \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u062a\u0645\u0631\u06a9\u0632 \u0634\u062f\u0647 \u0627\u0633\u062a<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0646\u062d\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc<\/td>\n<td>\u0645\u0646\u062d\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0644\u0627\u06cc\u0645 \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646<\/td>\n<td>\u0645\u0646\u062d\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0646\u062f\u062a\u0631<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647<\/td>\n<td>\u0648\u0638\u0627\u06cc\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0645\u062a\u0646\u0648\u0639<\/td>\n<td>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632\u0647\u0627 \u0648 \u0641\u0646 \u0622\u0648\u0631\u06cc \u0647\u0627\u06cc \u0622\u06cc\u0646\u062f\u0647 \u0645\u0631\u062a\u0628\u0637 \u0628\u0627 Scikit-learn<\/h2>\n<p>\u0622\u06cc\u0646\u062f\u0647 Scikit-Learn \u062f\u0627\u0631\u0627\u06cc \u0627\u0645\u06a9\u0627\u0646\u0627\u062a \u0647\u06cc\u062c\u0627\u0646 \u0627\u0646\u06af\u06cc\u0632\u06cc \u0627\u0633\u062a:<\/p>\n<ol>\n<li><strong>\u0627\u062f\u063a\u0627\u0645 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<\/strong>: \u0647\u0645\u06a9\u0627\u0631\u06cc \u0628\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0647\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0641\u0631\u0627\u0647\u0645 \u06a9\u0646\u062f.<\/li>\n<li><strong>\u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<\/strong>: \u06af\u0646\u062c\u0627\u0646\u062f\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0628\u0631\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u0639\u0645\u0644\u06a9\u0631\u062f.<\/li>\n<li><strong>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062e\u0648\u062f\u06a9\u0627\u0631 (AutoML)<\/strong>: \u0627\u062f\u063a\u0627\u0645 \u0642\u0627\u0628\u0644\u06cc\u062a \u0647\u0627\u06cc AutoML \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0645\u062f\u0644 \u0648 \u062a\u0646\u0638\u06cc\u0645 \u0647\u0627\u06cc\u067e\u0631\u067e\u0627\u0631\u0627\u0645\u062a\u0631.<\/li>\n<\/ol>\n<h2>\u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u06a9\u0633\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f \u06cc\u0627 \u0628\u0627 Scikit-learn \u0645\u0631\u062a\u0628\u0637 \u0634\u062f<\/h2>\n<p>\u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u06a9\u0633\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u062f\u0631 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0639\u0645\u0644\u06a9\u0631\u062f Scikit-learn \u0646\u0642\u0634 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f:<\/p>\n<ol>\n<li><strong>\u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/strong>: \u0627\u0632 \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u06a9\u0633\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0631\u0627\u06cc \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 \u0645\u0646\u0627\u0637\u0642 \u062c\u063a\u0631\u0627\u0641\u06cc\u0627\u06cc\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0631\u0627 \u063a\u0646\u06cc \u06a9\u0631\u062f.<\/li>\n<li><strong>\u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u0648 \u0627\u0645\u0646\u06cc\u062a<\/strong>: \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u06a9\u0633\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0627\u0632 \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062d\u0633\u0627\u0633 \u062f\u0631 \u0637\u0648\u0644 \u062c\u0645\u0639 \u0622\u0648\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0645\u062f\u0644 \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u062d\u0627\u0635\u0644 \u06a9\u0646\u0646\u062f.<\/li>\n<li><strong>\u0645\u062d\u0627\u0633\u0628\u0627\u062a \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647<\/strong>: \u0633\u0631\u0648\u0631\u0647\u0627\u06cc \u067e\u0631\u0648\u06a9\u0633\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u062a\u0648\u0632\u06cc\u0639 \u0648\u0638\u0627\u06cc\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0631 \u0686\u0646\u062f\u06cc\u0646 \u0633\u0631\u0648\u0631 \u06a9\u0645\u06a9 \u06a9\u0646\u0646\u062f \u0648 \u0645\u0642\u06cc\u0627\u0633 \u067e\u0630\u06cc\u0631\u06cc \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0647\u0646\u062f.<\/li>\n<\/ol>\n<h2>\u0644\u06cc\u0646\u06a9 \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647<\/h2>\n<p>\u0628\u0631\u0627\u06cc \u06a9\u0633\u0628 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f Scikit-learn\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc \u0648 \u0633\u0627\u06cc\u0631 \u0645\u0646\u0627\u0628\u0639 \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0645\u0631\u0627\u062c\u0639\u0647 \u06a9\u0646\u06cc\u062f:<\/p>\n<ul>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/documentation.html\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0631\u0633\u0645\u06cc Scikit-Learn<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/scikit-learn\/scikit-learn\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u062e\u0632\u0646 GitHub<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/tutorial\/index.html\" target=\"_new\" rel=\"noopener nofollow\">\u0622\u0645\u0648\u0632\u0634 \u0647\u0627\u06cc Scikit-Learn<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/auto_examples\/index.html\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u062b\u0627\u0644 \u0647\u0627\u06cc Scikit-Learn<\/a><\/li>\n<\/ul>\n<p>\u062f\u0631 \u062e\u0627\u062a\u0645\u0647\u060c Scikit-learn \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0633\u0646\u06af \u0628\u0646\u0627\u06cc \u062d\u0648\u0632\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0627\u0633\u062a \u0648 \u062c\u0639\u0628\u0647 \u0627\u0628\u0632\u0627\u0631\u06cc \u063a\u0646\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u062a\u0627\u0632\u0647 \u06a9\u0627\u0631 \u0648 \u0645\u062a\u062e\u0635\u0635 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f. \u0633\u0647\u0648\u0644\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647\u060c \u062a\u0637\u0628\u06cc\u0642 \u067e\u0630\u06cc\u0631\u06cc \u0648 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0641\u0639\u0627\u0644 \u062c\u0627\u0645\u0639\u0647 \u062c\u0627\u06cc\u06af\u0627\u0647 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0627\u0628\u0632\u0627\u0631 \u0627\u0633\u0627\u0633\u06cc \u062f\u0631 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0645\u0633\u062a\u062d\u06a9\u0645 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc\u060c Scikit-Learn \u0628\u0647 \u062a\u06a9\u0627\u0645\u0644 \u062e\u0648\u062f \u0627\u062f\u0627\u0645\u0647 \u0645\u06cc \u062f\u0647\u062f \u0648 \u0622\u06cc\u0646\u062f\u0647 \u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u062a\u0631 \u0648 \u0642\u0627\u0628\u0644 \u062f\u0633\u062a\u0631\u0633 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0639\u0644\u0627\u0642\u0647 \u0645\u0646\u062f\u0627\u0646 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0646\u0648\u06cc\u062f \u0645\u06cc \u062f\u0647\u062f.<\/p>","protected":false},"featured_media":470421,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478838","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Scikit-learn: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Scikit-learn?","answer":"<p>Scikit-learn, often referred to as sklearn, is a widely-used open-source machine learning library designed for Python. It provides a range of tools and algorithms for various machine learning tasks, making it a popular choice for both beginners and experts.<\/p>"},{"question":"Who developed Scikit-learn and when?","answer":"<p>Scikit-learn was initially developed by David Cournapeau in 2007 as part of the Google Summer of Code project. Since then, it has grown in popularity and has become an integral part of the Python machine learning ecosystem.<\/p>"},{"question":"What types of machine learning algorithms does Scikit-learn offer?","answer":"<p>Scikit-learn offers a diverse set of algorithms including classification, regression, clustering, and dimensionality reduction. It also provides tools for model selection, evaluation, and preprocessing of data.<\/p>"},{"question":"What are the key features of Scikit-learn?","answer":"<p>Scikit-learn is known for its ease of use, extensive documentation, and well-organized API. It offers a wide range of algorithms, integrates seamlessly with other Python libraries, and is optimized for performance. Additionally, it serves well for educational purposes.<\/p>"},{"question":"How does Scikit-learn compare to deep learning frameworks like TensorFlow and PyTorch?","answer":"<p>Scikit-learn is a general machine learning library suitable for various tasks. In contrast, TensorFlow and PyTorch are deep learning frameworks primarily focused on neural networks. Scikit-learn has a gentler learning curve for beginners, whereas deep learning frameworks may require more expertise.<\/p>"},{"question":"How can proxy servers be used with Scikit-learn?","answer":"<p>Proxy servers can enhance Scikit-learn in several ways. They can aid in data collection from different regions, ensure data privacy and security during collection and deployment, and facilitate distributed computing for improved scalability.<\/p>"},{"question":"What are the future prospects of Scikit-learn?","answer":"<p>The future of Scikit-learn looks promising. It may integrate with deep learning libraries, incorporate advanced algorithms, and even include automated machine learning (AutoML) capabilities for streamlined model selection and tuning.<\/p>"},{"question":"Where can I find more information about Scikit-learn?","answer":"<p>For more details, you can explore the <a href=\"https:\/\/scikit-learn.org\/stable\/documentation.html\" target=\"_new\">official Scikit-learn documentation<\/a>, check out the <a href=\"https:\/\/github.com\/scikit-learn\/scikit-learn\" target=\"_new\">GitHub repository<\/a>, or delve into <a href=\"https:\/\/scikit-learn.org\/stable\/tutorial\/index.html\" target=\"_new\">tutorials<\/a> and <a href=\"https:\/\/scikit-learn.org\/stable\/auto_examples\/index.html\" target=\"_new\">examples<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ir\/wp-json\/wp\/v2\/wiki\/478838","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ir\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ir\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ir\/wp-json\/wp\/v2\/wiki\/478838\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ir\/wp-json\/wp\/v2\/media\/470421"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ir\/wp-json\/wp\/v2\/media?parent=478838"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}