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\u0631\u0624\u0649 \u0623\u0641\u0636\u0644 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/p>\n<\/li>\n<li>\n<p>\u062a\u0642\u0644\u064a\u0644 \u0627\u0644\u0636\u0648\u0636\u0627\u0621: \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0648\u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621\u060c \u064a\u0639\u0645\u0644 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0639\u0644\u0649 \u062a\u062d\u0633\u064a\u0646 \u0642\u0648\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c.<\/p>\n<\/li>\n<li>\n<p>\u0627\u0644\u062a\u0639\u0645\u064a\u0645: \u062a\u0631\u0643\u0632 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629 \u0639\u0644\u0649 \u0627\u0644\u0628\u0646\u064a\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 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\u0625\u062d\u0635\u0627\u0626\u064a\u0629<\/td>\n<td>\u064a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u062a\u062f\u0627\u0628\u064a\u0631 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0644\u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0645\u064a\u0632\u0627\u062a.<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0644\u0649 \u0623\u0633\u0627\u0633 \u0627\u0644\u062a\u062d\u0648\u064a\u0644<\/td>\n<td>\u064a\u062a\u0636\u0645\u0646 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0631\u064a\u0627\u0636\u064a\u0629.<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0631\u064a\u0629<\/td>\n<td>\u064a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0646\u0638\u0631\u064a\u0629 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a.<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0644\u0649 \u0623\u0633\u0627\u0633 \u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/td>\n<td>\u064a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0645\u062f\u0631\u0628\u0629 \u0645\u0633\u0628\u0642\u064b\u0627 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u062a\u0645\u062b\u064a\u0644\u0627\u062a \u0627\u0644\u0645\u064a\u0632\u0627\u062a.<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0644\u0644\u0645\u064a\u0632\u0627\u062a<\/td>\n<td>\u064a\u0633\u062a\u062e\u0631\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0647\u0631\u0645\u064a\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0627\u062a \u0648\u0627\u0644\u0645\u0634\u0627\u0643\u0644 \u0648\u0627\u0644\u062d\u0644\u0648\u0644<\/h2>\n<p>\u062a\u062a\u0646\u0648\u0639 \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a:<\/p>\n<ul>\n<li>\n<p><strong>\u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631:<\/strong> \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0645\u0631\u0626\u064a\u0629 \u0644\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0623\u0634\u064a\u0627\u0621 \u0623\u0648 \u0627\u0644\u0648\u062c\u0648\u0647 \u0623\u0648 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0641\u064a \u0627\u0644\u0635\u0648\u0631.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0646\u0635:<\/strong> \u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0644\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u0634\u0627\u0639\u0631 \u0623\u0648 \u0627\u0644\u0645\u0648\u0636\u0648\u0639 \u0623\u0648 \u0627\u0644\u062a\u0623\u0644\u064a\u0641.<\/p>\n<\/li>\n<li>\n<p><strong>\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0643\u0644\u0627\u0645:<\/strong> \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0635\u0648\u062a\u064a\u0629 \u0644\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0643\u0644\u0627\u0645 \u0623\u0648 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u0645\u0634\u0627\u0639\u0631.<\/p>\n<\/li>\n<\/ul>\n<p>\u062a\u0634\u0645\u0644 \u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ul>\n<li>\n<p><strong>\u0644\u0639\u0646\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f:<\/strong> \u0642\u062f \u062a\u0624\u062f\u064a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u0623\u0628\u0639\u0627\u062f \u0625\u0644\u0649 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0645\u064a\u0632\u0629 \u0623\u0642\u0644 \u0641\u0639\u0627\u0644\u064a\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f:<\/strong> \u0625\u0630\u0627 \u0644\u0645 \u064a\u062a\u0645 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0623\u0648 \u062a\u062d\u0648\u064a\u0644\u0647\u0627 \u0628\u0639\u0646\u0627\u064a\u0629\u060c \u0641\u0642\u062f \u064a\u062a\u0645 \u062a\u062c\u0627\u0648\u0632 \u0627\u0644\u0646\u0645\u0627\u0630\u062c.<\/p>\n<\/li>\n<\/ul>\n<p>\u062a\u062a\u0636\u0645\u0646 \u0627\u0644\u062d\u0644\u0648\u0644 \u0647\u0646\u062f\u0633\u0629 \u0645\u064a\u0632\u0627\u062a \u062f\u0642\u064a\u0642\u0629\u060c \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u062a\u0642\u0644\u064a\u0644 \u0627\u0644\u0623\u0628\u0639\u0627\u062f\u060c \u0648\u062a\u0642\u064a\u064a\u0645 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u062a\u062c\u0646\u0628 \u0627\u0644\u062a\u062c\u0647\u064a\u0632 \u0627\u0644\u0632\u0627\u0626\u062f.<\/p>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0648\u0627\u0644\u0645\u0642\u0627\u0631\u0646\u0627\u062a<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0645\u064a\u0632\u0629 \u0627\u0633\u062a\u062e\u0631\u0627\u062c<\/th>\n<th>\u0627\u062e\u062a\u064a\u0627\u0631 \u0645\u064a\u0632\u0629<\/th>\n<th>\u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0645\u064a\u0632\u0629<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u064a\u062e\u062a\u0627\u0631 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0639\u0644\u0649 \u0623\u0633\u0627\u0633 \u0627\u0644\u0645\u0644\u0627\u0621\u0645\u0629<\/td>\n<td>\u064a\u062e\u062a\u0627\u0631 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0623\u0643\u062b\u0631 \u0625\u0641\u0627\u062f\u0629<\/td>\n<td>\u064a\u062d\u0648\u0644 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0645\u062d\u062f\u062f\u0629 \u0625\u0644\u0649 \u0645\u0633\u0627\u062d\u0629 \u062c\u062f\u064a\u062f\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u064a\u0632\u064a\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u063a\u064a\u0631 \u0630\u0627\u062a \u0627\u0644\u0635\u0644\u0629<\/td>\n<td>\u064a\u0642\u0644\u0644 \u0645\u0646 \u0627\u0644\u0623\u0628\u0639\u0627\u062f<\/td>\n<td>\u064a\u062d\u0627\u0641\u0638 \u0639\u0644\u0649 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0631\u0636\u0629 \u0644\u0641\u0642\u062f\u0627\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a<\/td>\n<td>\u064a\u0633\u0627\u0639\u062f \u0641\u064a \u062a\u062c\u0646\u0628 \u0627\u0644\u0625\u0641\u0631\u0627\u0637 \u0641\u064a \u0627\u0644\u062a\u062c\u0647\u064a\u0632<\/td>\n<td>\u064a\u0642\u0644\u0644 \u0645\u0646 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0628\u064a\u0646 \u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/td>\n<\/tr>\n<tr>\n<td>\u062e\u0637\u0648\u0629 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0645\u0633\u0628\u0642\u0629<\/td>\n<td>\u064a\u0642\u0644\u0644 \u0645\u0646 \u0627\u0644\u062a\u0639\u0642\u064a\u062f \u0627\u0644\u062d\u0633\u0627\u0628\u064a<\/td>\n<td>\u064a\u0633\u0647\u0644 \u062a\u0635\u0648\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0627\u0644\u0646\u0638\u0631 \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0648\u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a<\/h2>\n<p>\u0645\u0633\u062a\u0642\u0628\u0644 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0648\u0627\u0639\u062f\u060c \u0645\u062f\u0641\u0648\u0639\u064b\u0627 \u0628\u0627\u0644\u062a\u0642\u062f\u0645 \u0641\u064a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a\u060c \u0648\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642\u060c \u0648\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0636\u062e\u0645\u0629. \u0648\u0645\u0639 \u062a\u0637\u0648\u0631 \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u062a\u0648\u0642\u0639:<\/p>\n<ul>\n<li>\n<p><strong>\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0629 \u0627\u0644\u062a\u0644\u0642\u0627\u0626\u064a\u0629:<\/strong> \u0633\u062a\u062d\u062f\u062f \u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0639\u062a\u0645\u062f\u0629 \u0639\u0644\u0649 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0630\u0627\u062a \u0627\u0644\u0635\u0644\u0629 \u0645\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u062a\u0644\u0642\u0627\u0626\u064a\u064b\u0627\u060c \u0645\u0645\u0627 \u064a\u0642\u0644\u0644 \u0645\u0646 \u0627\u0644\u062a\u062f\u062e\u0644 \u0627\u0644\u064a\u062f\u0648\u064a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0627\u0644\u0646\u0647\u062c \u0627\u0644\u0647\u062c\u064a\u0646:<\/strong> \u0633\u062a\u0624\u062f\u064a \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0625\u0644\u0649 \u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0623\u062f\u0627\u0621 \u0639\u0628\u0631 \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/p>\n<\/li>\n<li>\n<p><strong>\u0645\u064a\u0632\u0629 \u0627\u0644\u062a\u0639\u0644\u0645 \u0645\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u0645\u0633\u0645\u0627\u0629:<\/strong> \u0633\u0648\u0641 \u064a\u0633\u062a\u062e\u0631\u062c \u062a\u0639\u0644\u0645 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0631\u0642\u0627\u0628\u0629 \u0631\u0624\u0649 \u0642\u064a\u0645\u0629 \u0645\u0646 \u0643\u0645\u064a\u0627\u062a \u0647\u0627\u0626\u0644\u0629 \u0645\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u063a\u064a\u0631 \u0627\u0644\u0645\u0633\u0645\u0627\u0629.<\/p>\n<\/li>\n<\/ul>\n<h2>\u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0648\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0633\u062a\u0641\u064a\u062f \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u0645\u062b\u0644 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u0648\u0641\u0631\u0647\u0627 OneProxy\u060c \u0645\u0646 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0628\u0637\u0631\u0642 \u0645\u062a\u0639\u062f\u062f\u0629:<\/p>\n<ul>\n<li>\n<p><strong>\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0633\u062c\u0644:<\/strong> \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u0633\u0627\u0639\u062f \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0641\u064a \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0641\u064a \u0633\u062c\u0644\u0627\u062a \u0627\u0644\u062e\u0627\u062f\u0645\u060c \u0645\u0645\u0627 \u064a\u0633\u0627\u0639\u062f \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629 \u0648\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0623\u0645\u0627\u0646.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u0635\u0646\u064a\u0641 \u062d\u0631\u0643\u0629 \u0627\u0644\u0645\u0631\u0648\u0631:<\/strong> \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u062e\u0631\u062c\u0629 \u0644\u062a\u0635\u0646\u064a\u0641 \u062d\u0631\u0643\u0629 \u0645\u0631\u0648\u0631 \u0627\u0644\u0634\u0628\u0643\u0629 \u0648\u062a\u062d\u0633\u064a\u0646\u0647\u0627.<\/p>\n<\/li>\n<li>\n<p><strong>\u062a\u062d\u0644\u064a\u0644 \u0633\u0644\u0648\u0643 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645:<\/strong> \u0648\u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0642\u0627\u0637 \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u0630\u0627\u062a \u0627\u0644\u0635\u0644\u0629 \u0645\u0646 \u062a\u0641\u0627\u0639\u0644\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u060c \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u062a\u062e\u0635\u064a\u0635 \u062e\u062f\u0645\u0627\u062a\u0647\u0627 \u0648\u0641\u0642\u064b\u0627 \u0644\u0644\u0627\u062d\u062a\u064a\u0627\u062c\u0627\u062a \u0627\u0644\u0641\u0631\u062f\u064a\u0629.<\/p>\n<\/li>\n<\/ul>\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 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ul>\n<li><a href=\"https:\/\/machinelearningmastery.com\/discover-feature-engineering-how-to-engineer-features-and-how-to-get-good-at-it\/\" target=\"_new\" rel=\"noopener nofollow\">\u0625\u062a\u0642\u0627\u0646 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u2013 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/a-comprehensive-guide-to-feature-selection-b9ddc14bfb67\" target=\"_new\" rel=\"noopener nofollow\">\u0646\u062d\u0648 \u0639\u0644\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u2013 \u062f\u0644\u064a\u0644 \u0634\u0627\u0645\u0644 \u0644\u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/feature_extraction.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-Learn - \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a<\/a><\/li>\n<\/ul>\n<p>\u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u064a\u0639\u062f \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a \u062a\u0642\u0646\u064a\u0629 \u062d\u064a\u0648\u064a\u0629 \u062a\u0641\u062a\u062d \u0627\u0644\u0625\u0645\u0643\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u062e\u0641\u064a\u0629 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u0645\u0645\u0627 \u064a\u0645\u0643\u0651\u0646 \u0645\u0648\u0641\u0631\u064a \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0645\u062b\u0644 OneProxy \u0645\u0646 \u062a\u0642\u062f\u064a\u0645 \u062e\u062f\u0645\u0627\u062a \u0623\u0643\u062b\u0631 \u0643\u0641\u0627\u0621\u0629 \u0648\u0623\u0645\u0627\u0646\u064b\u0627 \u0648\u062a\u062e\u0635\u064a\u0635\u064b\u0627 \u0644\u0639\u0645\u0644\u0627\u0626\u0647\u0645. \u0645\u0639 \u062a\u0642\u062f\u0645 \u0627\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627\u060c \u064a\u062d\u0645\u0644 \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0625\u0645\u0643\u0627\u0646\u064a\u0627\u062a \u0645\u062b\u064a\u0631\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a\u060c \u0648\u0625\u062d\u062f\u0627\u062b \u062b\u0648\u0631\u0629 \u0641\u064a \u0637\u0631\u064a\u0642\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u062a\u062d\u0644\u064a\u0644\u0647\u0627 \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0639\u0628\u0631 \u0645\u062e\u062a\u0644\u0641 \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a.<\/p>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477201","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Feature Extraction: Unveiling the Essence of Data<\/mark>","faq_items":[{"question":"What is feature extraction and why is it important?","answer":"<p><strong>Answer:<\/strong> Feature extraction is a crucial data processing technique that transforms raw data into a more concise and informative representation. It helps capture relevant patterns and characteristics while discarding irrelevant information. This process is essential for enhancing data analysis, improving efficiency, and facilitating better decision-making.<\/p>"},{"question":"How did feature extraction originate?","answer":"<p><strong>Answer:<\/strong> Feature extraction has its roots in early developments in pattern recognition and signal processing during the mid-20th century. Researchers in fields like computer vision and machine learning recognized the need to represent data more efficiently for various tasks. The concept was first formally mentioned in the 1960s when researchers explored techniques to reduce data dimensionality while preserving important information.<\/p>"},{"question":"What does the process of feature extraction entail?","answer":"<p><strong>Answer:<\/strong> Feature extraction involves several steps. First, the raw data is preprocessed to clean and normalize it. Next, relevant features are selected based on their importance. These selected features are then transformed to improve their representation and reduce correlation. Finally, feature scaling is applied to bring all features to a similar scale.<\/p>"},{"question":"What are the key benefits of feature extraction?","answer":"<p><strong>Answer:<\/strong> Feature extraction offers several key benefits. It improves efficiency by reducing computational burden, enhances interpretability by providing clearer insights, and reduces noise to make models more robust. Furthermore, it enables better generalization to unseen data, leading to more accurate and reliable results.<\/p>"},{"question":"What are the types of feature extraction techniques?","answer":"<p><strong>Answer:<\/strong> Feature extraction techniques can be categorized into statistical methods, transform-based approaches, information-theoretic methods, model-based techniques, and deep feature learning. Each type utilizes different strategies to capture relevant information from the data.<\/p>"},{"question":"How can feature extraction be used and what problems might arise?","answer":"<p><strong>Answer:<\/strong> Feature extraction finds applications in various fields, such as image recognition, text analysis, and speech processing. However, challenges like the curse of dimensionality and overfitting may arise during the process. These issues can be addressed through careful feature engineering, dimensionality reduction, and model evaluation.<\/p>"},{"question":"How does feature extraction compare to feature selection and feature transformation?","answer":"<p><strong>Answer:<\/strong> Feature extraction involves selecting relevant features based on their importance and transforming them into a new space. Feature selection, on the other hand, chooses the most informative features, while feature transformation focuses on reducing dimensionality and preserving key information. All three techniques play different roles in data processing.<\/p>"},{"question":"What does the future hold for feature extraction?","answer":"<p><strong>Answer:<\/strong> The future of feature extraction looks promising, driven by advancements in machine learning, deep learning, and big data technologies. Expect automated feature extraction, hybrid approaches, and unsupervised feature learning to revolutionize data analysis and decision-making.<\/p>"},{"question":"How can proxy servers benefit from feature extraction?","answer":"<p><strong>Answer:<\/strong> Proxy servers can leverage feature extraction for log analysis, traffic classification, and user behavior analysis. By extracting relevant patterns and insights from data, proxy servers can optimize network traffic, enhance security, and offer personalized services to their users.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/477201","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\/477201\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=477201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}