{"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\/ar\/wiki\/scikit-learn\/","title":{"rendered":"Scikit \u062a\u0639\u0644\u0645"},"content":{"rendered":"<p>Scikit-learn\u060c \u0648\u0627\u0644\u0645\u0639\u0631\u0648\u0641\u0629 \u0623\u064a\u0636\u064b\u0627 \u0628\u0627\u0633\u0645 sklearn\u060c \u0647\u064a \u0645\u0643\u062a\u0628\u0629 \u0634\u0647\u064a\u0631\u0629 \u0645\u0641\u062a\u0648\u062d\u0629 \u0627\u0644\u0645\u0635\u062f\u0631 \u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u0629 \u0644\u0644\u063a\u0629 \u0628\u0631\u0645\u062c\u0629 \u0628\u0627\u064a\u062b\u0648\u0646. \u064a\u0648\u0641\u0631 \u0623\u062f\u0648\u0627\u062a \u0628\u0633\u064a\u0637\u0629 \u0648\u0641\u0639\u0627\u0644\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c 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\u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/li>\n<li><strong>\u0627\u0644\u0645\u062c\u062a\u0645\u0639 \u0648\u0627\u0644\u062f\u0639\u0645<\/strong>: \u064a\u0633\u0627\u0647\u0645 \u0627\u0644\u0645\u062c\u062a\u0645\u0639 \u0627\u0644\u0646\u0634\u0637 \u0641\u064a \u0646\u0645\u0648 \u0627\u0644\u0645\u0643\u062a\u0628\u0629\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u0625\u062c\u0631\u0627\u0621 \u062a\u062d\u062f\u064a\u062b\u0627\u062a \u0645\u0646\u062a\u0638\u0645\u0629 \u0648\u0625\u0635\u0644\u0627\u062d\u0627\u062a \u0644\u0644\u0623\u062e\u0637\u0627\u0621.<\/li>\n<li><strong>\u0627\u0646\u062f\u0645\u0627\u062c<\/strong>: \u064a\u062a\u0643\u0627\u0645\u0644 Scikit-learn \u0628\u0633\u0644\u0627\u0633\u0629 \u0645\u0639 \u0645\u0643\u062a\u0628\u0627\u062a Python \u0627\u0644\u0623\u062e\u0631\u0649\u060c \u0645\u0645\u0627 \u064a\u062a\u064a\u062d \u0645\u0633\u0627\u0631\u0627\u062a \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0634\u0627\u0645\u0644\u0629.<\/li>\n<li><strong>\u0643\u0641\u0627\u0621\u0629<\/strong>: \u062a\u0645 \u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0645\u0643\u062a\u0628\u0629 \u0644\u0644\u0623\u062f\u0627\u0621 \u0648\u062a\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0643\u0628\u064a\u0631\u0629 \u0628\u0643\u0641\u0627\u0621\u0629.<\/li>\n<li><strong>\u062a\u0639\u0644\u064a\u0645<\/strong>: \u062a\u0639\u062a\u0628\u0631 \u0648\u0627\u062c\u0647\u062a\u0647 \u0633\u0647\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0641\u064a\u062f\u0629 \u0628\u0634\u0643\u0644 \u062e\u0627\u0635 \u0644\u062a\u062f\u0631\u064a\u0633 \u0648\u062a\u0639\u0644\u0645 \u0645\u0641\u0627\u0647\u064a\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a.<\/li>\n<\/ul>\n<h2>\u0623\u0646\u0648\u0627\u0639 Scikit-Learn \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0627\u062a\u0647\u0627<\/h2>\n<p>\u064a\u0642\u062f\u0645 Scikit-learn \u0623\u0646\u0648\u0627\u0639\u064b\u0627 \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0646 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a\u060c \u064a\u062e\u062f\u0645 \u0643\u0644 \u0645\u0646\u0647\u0627 \u063a\u0631\u0636\u064b\u0627 \u0645\u062d\u062f\u062f\u064b\u0627:<\/p>\n<ul>\n<li><strong>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u0635\u0646\u064a\u0641<\/strong>: \u064a\u0633\u062a\u062e\u062f\u0645 \u0644\u0644\u062a\u0646\u0628\u0624 \u0628\u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0641\u0626\u0648\u064a\u0629\u060c \u0645\u062b\u0644 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0628\u0631\u064a\u062f \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a \u0623\u0648 \u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0635\u0648\u0631.<\/li>\n<li><strong>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631<\/strong>: \u064a\u062a\u0645 \u062a\u0637\u0628\u064a\u0642\u0647 \u0644\u0644\u062a\u0646\u0628\u0624 \u0628\u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0639\u062f\u062f\u064a\u0629 \u0627\u0644\u0645\u0633\u062a\u0645\u0631\u0629\u060c \u0645\u062b\u0644 \u0623\u0633\u0639\u0627\u0631 \u0627\u0644\u0645\u0646\u0627\u0632\u0644 \u0623\u0648 \u0623\u0633\u0639\u0627\u0631 \u0627\u0644\u0623\u0633\u0647\u0645.<\/li>\n<li><strong>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u062c\u0645\u064a\u0639<\/strong>: \u064a\u0633\u062a\u062e\u062f\u0645 \u0644\u062a\u062c\u0645\u064a\u0639 \u0646\u0642\u0627\u0637 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0645\u0639\u064b\u0627 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0645\u0642\u0627\u064a\u064a\u0633 \u0627\u0644\u062a\u0634\u0627\u0628\u0647.<\/li>\n<li><strong>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u062a\u062e\u0641\u064a\u0636 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/strong>: \u064a\u0633\u062a\u062e\u062f\u0645 \u0644\u062a\u0642\u0644\u064a\u0644 \u0639\u062f\u062f \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0645\u0639 \u0627\u0644\u0627\u062d\u062a\u0641\u0627\u0638 \u0628\u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629.<\/li>\n<li><strong>\u0623\u062f\u0648\u0627\u062a \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0648\u062a\u0642\u064a\u064a\u0645\u0647<\/strong>: \u0627\u0644\u0645\u0633\u0627\u0639\u062f\u0629 \u0641\u064a \u0627\u062e\u062a\u064a\u0627\u0631 \u0623\u0641\u0636\u0644 \u0646\u0645\u0648\u0630\u062c \u0648\u0636\u0628\u0637 \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0641\u0627\u0626\u0642\u0629 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0647.<\/li>\n<\/ul>\n<table>\n<thead>\n<tr>\n<th>\u0646\u0648\u0639 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629<\/th>\n<th>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062b\u0627\u0644<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u062a\u0635\u0646\u064a\u0641<\/td>\n<td>\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0642\u0631\u0627\u0631\u060c \u0648\u0627\u0644\u063a\u0627\u0628\u0627\u062a \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0631\u0627\u062c\u0639<\/td>\n<td>\u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a\u060c \u0627\u0646\u062d\u062f\u0627\u0631 \u0631\u064a\u062f\u062c<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u062c\u0645\u0639<\/td>\n<td>\u064a\u0639\u0646\u064a K\u060c DBSCAN<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u062e\u0641\u064a\u0636 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/td>\n<td>\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u0643\u0648\u0646\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 (PCA)<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0648\u062a\u0642\u064a\u064a\u0645\u0647<\/td>\n<td>GridSearchCV\u060c cross_val_score<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 Scikit-Learn \u0648\u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0648\u0627\u0644\u062d\u0644\u0648\u0644<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 Scikit-Learn \u0628\u0639\u062f\u0629 \u0637\u0631\u0642:<\/p>\n<ol>\n<li><strong>\u0625\u0639\u062f\u0627\u062f \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/strong>: \u062a\u062d\u0645\u064a\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u0645\u0639\u0627\u0644\u062c\u062a\u0647\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u062a\u062d\u0648\u064a\u0644\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u062d\u062f\u0627\u062a \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0633\u0628\u0642\u0629.<\/li>\n<li><strong>\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u064a<\/strong>: \u062a\u062d\u062f\u064a\u062f \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0645\u0646\u0627\u0633\u0628\u0629\u060c \u0648\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0646\u0645\u0648\u0630\u062c\u060c \u0648\u0636\u0628\u0637 \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0641\u0627\u0626\u0642\u0629.<\/li>\n<li><strong>\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/strong>: \u062a\u0642\u064a\u064a\u0645 \u0623\u062f\u0627\u0621 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0642\u0627\u064a\u064a\u0633 \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u062a\u062d\u0642\u0642 \u0627\u0644\u0645\u062a\u0628\u0627\u062f\u0644.<\/li>\n<li><strong>\u062a\u0639\u064a\u064a\u0646<\/strong>: \u062f\u0645\u062c \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0645\u062f\u0631\u0628 \u0641\u064a \u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u0625\u0646\u062a\u0627\u062c \u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u0639\u0627\u0644\u0645 \u0627\u0644\u062d\u0642\u064a\u0642\u064a.<\/li>\n<\/ol>\n<p>\u062a\u062a\u0636\u0645\u0646 \u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0648\u0627\u0644\u062d\u0644\u0648\u0644 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u0645\u062a\u0648\u0627\u0632\u0646\u0629\u060c \u0648\u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0630\u0627\u062a \u0627\u0644\u0635\u0644\u0629\u060c \u0648\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u062a\u0646\u0638\u064a\u0645.<\/p>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0627\u0644\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0645\u0639 \u0627\u0644\u0645\u0635\u0637\u0644\u062d\u0627\u062a \u0627\u0644\u0645\u0645\u0627\u062b\u0644\u0629<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0648\u062c\u0647<\/th>\n<th>Scikit \u062a\u0639\u0644\u0645<\/th>\n<th>TensorFlow \/ \u0628\u0627\u064a\u062a\u0648\u0631\u062a\u0634<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0631\u0643\u0632<\/td>\n<td>\u0645\u0643\u062a\u0628\u0629 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0639\u0627\u0645\u0629<\/td>\n<td>\u0623\u0637\u0631 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0647\u0648\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u0639\u0645\u0627\u0644<\/td>\n<td>\u0648\u0627\u062c\u0647\u0629 \u0628\u0631\u0645\u062c\u0629 \u0627\u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a (API) \u0633\u0647\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0628\u0633\u064a\u0637\u0629<\/td>\n<td>\u0623\u0643\u062b\u0631 \u062a\u0639\u0642\u064a\u062f\u064b\u0627\u060c \u0648\u062e\u0627\u0635\u0629 TensorFlow<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0646\u0648\u0639 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629<\/td>\n<td>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0634\u0627\u0645\u0644\u0629 \u0648\u0645\u062a\u0646\u0648\u0639\u0629<\/td>\n<td>\u062a\u0631\u0643\u0632 \u0641\u064a \u0627\u0644\u0645\u0642\u0627\u0645 \u0627\u0644\u0623\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u062a\u0639\u0644\u0645<\/td>\n<td>\u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u062a\u0639\u0644\u0645 \u0644\u0637\u064a\u0641 \u0644\u0644\u0645\u0628\u062a\u062f\u0626\u064a\u0646<\/td>\n<td>\u0645\u0646\u062d\u0646\u0649 \u0627\u0644\u062a\u0639\u0644\u0645 \u0623\u0643\u062b\u0631 \u062d\u062f\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0633\u062a\u062e\u062f\u0645 \u062d\u0627\u0644\u0627\u062a<\/td>\n<td>\u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0645\u062a\u0646\u0648\u0639\u0629<\/td>\n<td>\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642\u060c \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0627\u0644\u0646\u0638\u0631 \u0648\u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0640 Scikit-Learn<\/h2>\n<p>\u064a\u062d\u0645\u0644 \u0645\u0633\u062a\u0642\u0628\u0644 Scikit-learn \u0625\u0645\u0643\u0627\u0646\u064a\u0627\u062a \u0645\u062b\u064a\u0631\u0629:<\/p>\n<ol>\n<li><strong>\u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642<\/strong>: \u0642\u062f \u064a\u0648\u0641\u0631 \u0627\u0644\u062a\u0639\u0627\u0648\u0646 \u0645\u0639 \u0645\u0643\u062a\u0628\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u062a\u0643\u0627\u0645\u0644\u064b\u0627 \u0633\u0644\u0633\u064b\u0627 \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0645\u062e\u062a\u0644\u0637\u0629.<\/li>\n<li><strong>\u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062a\u0642\u062f\u0645\u0629<\/strong>: \u0625\u062f\u0631\u0627\u062c \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0645\u062a\u0637\u0648\u0631\u0629 \u0644\u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0623\u062f\u0627\u0621.<\/li>\n<li><strong>\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0622\u0644\u064a (AutoML)<\/strong>: \u062a\u0643\u0627\u0645\u0644 \u0625\u0645\u0643\u0627\u0646\u064a\u0627\u062a AutoML \u0644\u0644\u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0622\u0644\u064a \u0644\u0644\u0646\u0645\u0648\u0630\u062c \u0648\u0636\u0628\u0637 \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0641\u0627\u0626\u0642\u0629.<\/li>\n<\/ol>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0640 Scikit-learn<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0646 \u062a\u0644\u0639\u0628 \u062f\u0648\u0631\u064b\u0627 \u0641\u064a \u062a\u062d\u0633\u064a\u0646 \u0648\u0638\u0627\u0626\u0641 Scikit-learn:<\/p>\n<ol>\n<li><strong>\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/strong>: \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0644\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u0646 \u0645\u0646\u0627\u0637\u0642 \u062c\u063a\u0631\u0627\u0641\u064a\u0629 \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u0625\u062b\u0631\u0627\u0621 \u0645\u062c\u0645\u0648\u0639\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628.<\/li>\n<li><strong>\u0627\u0644\u062e\u0635\u0648\u0635\u064a\u0629 \u0648\u0627\u0644\u0623\u0645\u0646<\/strong>: \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0636\u0645\u0627\u0646 \u062e\u0635\u0648\u0635\u064a\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062d\u0633\u0627\u0633\u0629 \u0623\u062b\u0646\u0627\u0621 \u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u0646\u0634\u0631 \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/li>\n<li><strong>\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0645\u0648\u0632\u0639\u0629<\/strong>: \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0633\u0627\u0639\u062f \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0641\u064a \u062a\u0648\u0632\u064a\u0639 \u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0639\u0628\u0631 \u062e\u0648\u0627\u062f\u0645 \u0645\u062a\u0639\u062f\u062f\u0629\u060c \u0645\u0645\u0627 \u064a\u0639\u0632\u0632 \u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639.<\/li>\n<\/ol>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<p>\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 Scikit-learn\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0631\u062c\u0648\u0639 \u0625\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0631\u0633\u0645\u064a\u0629 \u0648\u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0623\u062e\u0631\u0649:<\/p>\n<ul>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/documentation.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-Learn \u0627\u0644\u062a\u0648\u062b\u064a\u0642 \u0627\u0644\u0631\u0633\u0645\u064a<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/scikit-learn\/scikit-learn\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u0633\u062a\u0648\u062f\u0639 \u062c\u064a\u062b\u0628<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/tutorial\/index.html\" target=\"_new\" rel=\"noopener nofollow\">\u062f\u0631\u0648\u0633 Scikit-Learn \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/auto_examples\/index.html\" target=\"_new\" rel=\"noopener nofollow\">\u0623\u0645\u062b\u0644\u0629 \u0639\u0644\u0649 Scikit-Learn<\/a><\/li>\n<\/ul>\n<p>\u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u064a\u0639\u062f Scikit-learn \u0628\u0645\u062b\u0627\u0628\u0629 \u062d\u062c\u0631 \u0627\u0644\u0632\u0627\u0648\u064a\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a\u060c \u062d\u064a\u062b \u064a\u0642\u062f\u0645 \u0645\u062c\u0645\u0648\u0639\u0629 \u0623\u062f\u0648\u0627\u062a \u063a\u0646\u064a\u0629 \u0644\u0643\u0644 \u0645\u0646 \u0627\u0644\u0645\u0645\u0627\u0631\u0633\u064a\u0646 \u0627\u0644\u0645\u0628\u062a\u062f\u0626\u064a\u0646 \u0648\u0627\u0644\u062e\u0628\u0631\u0627\u0621. \u0644\u0642\u062f \u0639\u0632\u0632\u062a \u0633\u0647\u0648\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u062a\u0639\u062f\u062f \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0627\u062a \u0648\u0627\u0644\u062f\u0639\u0645 \u0627\u0644\u0645\u062c\u062a\u0645\u0639\u064a \u0627\u0644\u0646\u0634\u0637 \u0645\u0643\u0627\u0646\u062a\u0647\u0627 \u0643\u0623\u062f\u0627\u0629 \u0623\u0633\u0627\u0633\u064a\u0629 \u0641\u064a \u0645\u0634\u0647\u062f \u0639\u0644\u0648\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a. \u0645\u0639 \u062a\u0642\u062f\u0645 \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627\u060c \u062a\u0633\u062a\u0645\u0631 Scikit-learn \u0641\u064a \u0627\u0644\u062a\u0637\u0648\u0631\u060c \u0645\u0645\u0627 \u064a\u0639\u062f \u0628\u0645\u0633\u062a\u0642\u0628\u0644 \u0623\u0643\u062b\u0631 \u0642\u0648\u0629 \u0648\u064a\u0645\u0643\u0646 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u064a\u0647 \u0644\u0639\u0634\u0627\u0642 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a.<\/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\/ar\/wp-json\/wp\/v2\/wiki\/478838","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478838\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/470421"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=478838"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}