\n \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998\uc740 \uc810\uc810 \ub354 \ub9ce\uc740 \ud22c\uc790\uc790\ub4e4\uc5d0\uac8c \uc601\ud5a5\uc744 \ubbf8\uce58\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \uc218\ub9ce\uc740 \ub370\uc774\ud130\uc640 \ud328\ud134\uc744 \ubd84\uc11d\ud558\uc5ec \ub9e4\ub9e4 \uacb0\uc815\uc744 \uc790\ub3d9\uc73c\ub85c \ub0b4\ub9ac\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774\ub7ec\ud55c \ubaa8\ub378\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud6c8\ub828\ud558\uace0 \uac80\uc99d\ud558\ub294 \uacfc\uc815\uc740 \ubcf5\uc7a1\ud569\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \ud65c\uc6a9\ud558\uc5ec, \ubc31\ud14c\uc2a4\ud2b8 \uc911 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774\ub780, \uc5c4\uaca9\ud55c \uaddc\uce59\uacfc \uc870\uac74\uc5d0 \ub530\ub77c \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc774 \uc790\ub3d9\uc73c\ub85c \uc8fc\uc2dd\uc744 \uc0ac\uace0\ud30c\ub294 \uacfc\uc815\uc744 \ub9d0\ud569\ub2c8\ub2e4. \uc804\ud1b5\uc801\uc778 \ud2b8\ub808\uc774\ub529 \ubc29\uc2dd\uacfc \ube44\uad50\ud560 \ub54c, \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc7a5\uc810\uc740 \ubb34\uc5c7\uc77c\uae4c\uc694? \uac00\uc7a5 \ud070 \uc7a5\uc810\uc740 \uac10\uc815\uc801\uc778 \ud310\ub2e8\uc744 \ubc30\uc81c\ud558\uace0 \uc77c\uad00\ub41c \uc804\ub7b5\uc744 \uad6c\uc0ac\ud560 \uc218 \uc788\ub2e4\ub294 \uc810\uc785\ub2c8\ub2e4. \ub610\ud55c, \uc2dc\uc7a5\uc758 \ubcc0\ud654\uc5d0 \ube60\ub974\uac8c \ubc18\uc751\ud560 \uc218 \uc788\ub294 \ub2a5\ub825\uc744 \uac00\uc9d1\ub2c8\ub2e4.\n <\/p>\n
\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \uc5ec\ub7ec \uac00\uc9c0 \ubc29\uc2dd\uc73c\ub85c \uad6c\ud604\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc8fc\ub85c \uc0ac\uc6a9\ub418\ub294 \ubc29\uc2dd\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub85c\ubd80\ud130 \ud559\uc2b5\ud558\uc5ec \uc608\uce21\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc744 \ub9cc\ub4dc\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ubc18\uba74, \ub525\ub7ec\ub2dd\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud558\uc704 \ubd84\uc57c\ub85c, \uc2e0\uacbd\ub9dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc758 \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \uc778\uc2dd\ud558\ub294 \ub370 \uc911\uc810\uc744 \ub461\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub450 \uae30\uc220\uc740 \uc8fc\uc2dd \uc2dc\uc7a5\uc5d0\uc11c \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \ub9e4\uc6b0 \uc720\uc6a9\ud569\ub2c8\ub2e4.\n <\/p>\n
\n \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc8fc\uc694 \uc54c\uace0\ub9ac\uc998\uc5d0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uac83\ub4e4\uc774 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n \ub525\ub7ec\ub2dd\uc5d0\uc11c\ub294 \ub2e4\uc591\ud55c \ud504\ub808\uc784\uc6cc\ud06c\uac00 \ud65c\uc6a9\ub429\ub2c8\ub2e4:<\/p>\n
\n \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uc2e4\uc81c \uac70\ub798\uc5d0 \uc801\uc6a9\ud558\uae30 \uc804\uc5d0, \ubc31\ud14c\uc2a4\ud2b8\ub294 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubc31\ud14c\uc2a4\ud2b8\ub294 \uacfc\uac70 \ub370\uc774\ud130\ub97c \ud65c\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc720\ud6a8\uc131\uacfc \ub9ac\uc2a4\ud06c\ub97c \uc0ac\uc804\uc5d0 \uac80\ud1a0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n \ubc31\ud14c\uc2a4\ud2b8\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub85c \uc9c4\ud589\ub429\ub2c8\ub2e4:<\/p>\n
\n \ubaa8\ub378 \ud6c8\ub828\uc740 \ud575\uc2ec\uc801\uc778 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c\ub294 \uacfc\uac70 \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \ubaa8\ub378\uc774 \ud559\uc2b5\ud558\uac8c \ub429\ub2c8\ub2e4. \ubaa8\ub378 \ud6c8\ub828\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud558\uae30 \uc704\ud574, \ub370\uc774\ud130\ub97c \ud2b8\ub808\uc774\ub2dd \uc14b, \uac80\uc99d \uc14b, \ud14c\uc2a4\ud2b8 \uc14b\uc73c\ub85c \ub098\ub204\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n \ub370\uc774\ud130 \ubd84\ud560\uc740 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \uc131\ub2a5\uc744 \ub192\uc774\ub294 \ub370 \uc911\uc694\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c 70%\uc758 \ub370\uc774\ud130\ub97c \ud2b8\ub808\uc774\ub2dd \uc14b\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, 15%\ub294 \uac80\uc99d \uc14b, \ub098\uba38\uc9c0 15%\ub294 \ud14c\uc2a4\ud2b8 \uc14b\uc73c\ub85c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.\n <\/p>\n
\n \uacfc\uc801\ud569\uc744 \ubc29\uc9c0\ud558\uace0 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\uae30 \uc704\ud574 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. Grid Search, Random Search\uc640 \uac19\uc740 \uae30\ubc95\uc744 \ud65c\uc6a9\ud558\uc5ec \ucd5c\uc801\uc758 \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\n \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud55c \ub2e4\uc591\ud55c \uc9c0\ud45c\ub4e4\uc774 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n \uc544\ub798\ub294 Python\uc744 \uc774\uc6a9\ud55c \uac04\ub2e8\ud55c \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \ud6c8\ub828\uc758 \uc608\uc2dc\uc785\ub2c8\ub2e4. \uc774 \uc608\uc2dc\ub294 \uc8fc\uac00 \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.\n <\/p>\n
\n \n import pandas as pd\n from sklearn.model_selection import train_test_split\n from sklearn.ensemble import RandomForestClassifier\n from sklearn.metrics import classification_report\n \n # \ub370\uc774\ud130 \ubd88\ub7ec\uc624\uae30\n data = pd.read_csv('stock_data.csv')\n \n # \ud2b9\uc131 \ubc0f \ub808\uc774\ube14 \uc815\uc758\n X = data.drop('target', axis=1)\n y = data['target']\n \n # \ub370\uc774\ud130 \ubd84\ud560\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n \n # \ubaa8\ub378 \ud6c8\ub828\n model = RandomForestClassifier(n_estimators=100, random_state=42)\n model.fit(X_train, y_train)\n \n # \uc608\uce21 \ubc0f \uc131\ub2a5 \ud3c9\uac00\n y_pred = model.predict(X_test)\n print(classification_report(y_test, y_pred))\n <\/code>\n <\/pre>\n7. \uacb0\ub860<\/h2>\n\n \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ub9ce\uc740 \uac00\ub2a5\uc131\uc744 \uc9c0\ub2c8\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uace0 \ubc31\ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uac80\uc99d\ud558\ub294 \uacfc\uc815\uc740 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c \uc124\uba85\ud55c \ub0b4\uc6a9\uc744 \ubc14\ud0d5\uc73c\ub85c, \uc790\uc2e0\uc758 \uc804\ub7b5\uc744 \uc138\uc6b0\uace0, \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uc5ec \uadf8 \uc131\uacfc\ub97c \uac80\uc99d\ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.\n <\/p>\n8. \ucd94\uac00 \ud559\uc2b5 \uc790\ub8cc<\/h2>\n\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc5d0 \ub300\ud574 \ub354 \uae4a\uc774 \uc788\ub294 \uc9c0\uc2dd\uc744 \uc313\uace0 \uc2f6\ub2e4\uba74, \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ucd94\ucc9c\ud569\ub2c8\ub2e4:<\/p>\n\nCoursera<\/a> – \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub370\uc774\ud130 \uacfc\ud559 \uad00\ub828 \uac15\uc758<\/li>\nKaggle<\/a> – \ub370\uc774\ud130 \uacfc\ud559 \ub300\ud68c \ucc38\uc5ec \ubc0f \ub370\uc774\ud130\uc14b \ud0d0\uc0c9<\/li>\nUdacity<\/a> – \uba38\uc2e0\ub7ec\ub2dd \ubc0f \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc758 \ub098\ub178\ub514\uadf8\ub9ac \ud504\ub85c\uadf8\ub7a8<\/li>\n<\/ul>\n
\n import pandas as pd\n from sklearn.model_selection import train_test_split\n from sklearn.ensemble import RandomForestClassifier\n from sklearn.metrics import classification_report\n \n # \ub370\uc774\ud130 \ubd88\ub7ec\uc624\uae30\n data = pd.read_csv('stock_data.csv')\n \n # \ud2b9\uc131 \ubc0f \ub808\uc774\ube14 \uc815\uc758\n X = data.drop('target', axis=1)\n y = data['target']\n \n # \ub370\uc774\ud130 \ubd84\ud560\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n \n # \ubaa8\ub378 \ud6c8\ub828\n model = RandomForestClassifier(n_estimators=100, random_state=42)\n model.fit(X_train, y_train)\n \n # \uc608\uce21 \ubc0f \uc131\ub2a5 \ud3c9\uac00\n y_pred = model.predict(X_test)\n print(classification_report(y_test, y_pred))\n <\/code>\n <\/pre>\n7. \uacb0\ub860<\/h2>\n\n \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ub9ce\uc740 \uac00\ub2a5\uc131\uc744 \uc9c0\ub2c8\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uace0 \ubc31\ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uac80\uc99d\ud558\ub294 \uacfc\uc815\uc740 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c \uc124\uba85\ud55c \ub0b4\uc6a9\uc744 \ubc14\ud0d5\uc73c\ub85c, \uc790\uc2e0\uc758 \uc804\ub7b5\uc744 \uc138\uc6b0\uace0, \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uc5ec \uadf8 \uc131\uacfc\ub97c \uac80\uc99d\ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.\n <\/p>\n8. \ucd94\uac00 \ud559\uc2b5 \uc790\ub8cc<\/h2>\n\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc5d0 \ub300\ud574 \ub354 \uae4a\uc774 \uc788\ub294 \uc9c0\uc2dd\uc744 \uc313\uace0 \uc2f6\ub2e4\uba74, \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ucd94\ucc9c\ud569\ub2c8\ub2e4:<\/p>\n\nCoursera<\/a> – \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub370\uc774\ud130 \uacfc\ud559 \uad00\ub828 \uac15\uc758<\/li>\nKaggle<\/a> – \ub370\uc774\ud130 \uacfc\ud559 \ub300\ud68c \ucc38\uc5ec \ubc0f \ub370\uc774\ud130\uc14b \ud0d0\uc0c9<\/li>\nUdacity<\/a> – \uba38\uc2e0\ub7ec\ub2dd \ubc0f \uc778\uacf5\uc9c0\ub2a5 \ubd84\uc57c\uc758 \ub098\ub178\ub514\uadf8\ub9ac \ud504\ub85c\uadf8\ub7a8<\/li>\n<\/ul>\n
\n \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ub9ce\uc740 \uac00\ub2a5\uc131\uc744 \uc9c0\ub2c8\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uace0 \ubc31\ud14c\uc2a4\ud2b8\ub97c \ud1b5\ud574 \uac80\uc99d\ud558\ub294 \uacfc\uc815\uc740 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c \uc124\uba85\ud55c \ub0b4\uc6a9\uc744 \ubc14\ud0d5\uc73c\ub85c, \uc790\uc2e0\uc758 \uc804\ub7b5\uc744 \uc138\uc6b0\uace0, \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uc5ec \uadf8 \uc131\uacfc\ub97c \uac80\uc99d\ud574\ubcf4\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.\n <\/p>\n
\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc5d0 \ub300\ud574 \ub354 \uae4a\uc774 \uc788\ub294 \uc9c0\uc2dd\uc744 \uc313\uace0 \uc2f6\ub2e4\uba74, \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \ucd94\ucc9c\ud569\ub2c8\ub2e4:<\/p>\n