{"id":28912,"date":"2024-10-27T16:15:46","date_gmt":"2024-10-27T16:15:46","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=28912"},"modified":"2024-11-26T06:56:08","modified_gmt":"2024-11-26T06:56:08","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-%eb%8d%b0%ec%9d%b4%ed%84%b0-%ec%9d%bc%eb%b3%b8","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/28912\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ub370\uc774\ud130  \uc77c\ubcf8 \uc8fc\uc2dd"},"content":{"rendered":"<p><body><\/p>\n<p>\ud604\ub300 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ub9ce\uc740 \ud22c\uc790\uc790\ub4e4\uacfc \uae30\uad00 \ud22c\uc790\uc790\ub4e4\uc5d0\uac8c \ud544\uc218\uc801\uc778 \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc740 \uc774\ub7ec\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ud575\uc2ec\uc801\uc778 \uc694\uc18c\ub85c, \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0, \uc608\uce21 \ubaa8\ub378\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uc77c\ubcf8 \uc8fc\uc2dd \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc801\uc6a9 \uc0ac\ub840\uc640 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ubcf8 \uc774\ud574<\/h2>\n<h3>1.1 \uba38\uc2e0\ub7ec\ub2dd\uc774\ub780?<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc740 \ucef4\ud4e8\ud130\uac00 \uba85\uc2dc\uc801\uc778 \ud504\ub85c\uadf8\ub798\ubc0d \uc5c6\uc774 \uc785\ub825 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc608\uce21 \ubaa8\ub378\uc744 \uc0dd\uc131\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uc6b0\ub9ac\uac00 \uac00\ub974\uccd0\uc900 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uc5d0\uc11c \uc0ac\uc6a9\ub418\ub294 \uc54c\uace0\ub9ac\uc998\uc740 \ud06c\uac8c \ub2e4\uc74c\uacfc \uac19\uc774 \ubd84\ub958\ub429\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc9c0\ub3c4 \ud559\uc2b5(Supervised Learning)<\/li>\n<li>\ube44\uc9c0\ub3c4 \ud559\uc2b5(Unsupervised Learning)<\/li>\n<li>\uac15\ud654 \ud559\uc2b5(Reinforcement Learning)<\/li>\n<\/ul>\n<h3>1.2 \ub525\ub7ec\ub2dd\uc774\ub780?<\/h3>\n<p>\ub525\ub7ec\ub2dd\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud574 \ub370\uc774\ud130\uc5d0\uc11c \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc740 \ud2b9\ud788 \ub300\ub7c9\uc758 \ub370\uc774\ud130\uc640 \uac15\ub825\ud55c \ucef4\ud4e8\ud305 \uc131\ub2a5\uc744 \ud1b5\ud574 \uc774\ubbf8\uc9c0 \uc778\uc2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<h2>2. \uc77c\ubcf8 \uc8fc\uc2dd \uc2dc\uc7a5 \uac1c\uc694<\/h2>\n<p>\uc77c\ubcf8 \uc8fc\uc2dd \uc2dc\uc7a5\uc740 \uc544\uc2dc\uc544\uc5d0\uc11c \uac00\uc7a5 \ud65c\ubc1c\ud55c \uc2dc\uc7a5 \uc911 \ud558\ub098\ub85c, \ub3c4\ucfc4 \uc99d\uad8c\uac70\ub798\uc18c(TSE)\uac00 \uc911\uc2ec\uc774 \ub429\ub2c8\ub2e4. \uc77c\ubcf8\uc740 \uae30\uc220 \uc911\uc2ec\uc758 \uae30\uc5c5\ub4e4\uc774 \ub2e4\uc218 \uc788\uc73c\uba70, \uc774\ub7ec\ud55c \uae30\uc5c5\ub4e4\uc758 \uc8fc\uac00\ub294 \uae00\ub85c\ubc8c \uacbd\uc81c\uc640 \ubc00\uc811\ud55c \uad00\uacc4\ub97c \ub9fa\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc77c\ubcf8 \uc8fc\uc2dd \ub370\uc774\ud130\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \ubaa8\ub378\uc744 \ud6c8\ub828\ud558\uae30\uc5d0 \uc88b\uc740 \ub370\uc774\ud130\uc14b\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<h3>2.1 \uc77c\ubcf8 \uc8fc\uc2dd \uc2dc\uc7a5\uc758 \ud2b9\uc9d5<\/h3>\n<ul>\n<li>\uae00\ub85c\ubc8c \uacbd\uc81c\uc640\uc758 \uc5f0\uacc4\uc131<\/li>\n<li>\uae30\uc220 \uc911\uc2ec\uc758 \uae30\uc5c5\ub4e4 (\uc608: \uc18c\ub2c8, \ub3c4\uc694\ud0c0)<\/li>\n<li>\ub192\uc740 \ubcc0\ub3d9\uc131<\/li>\n<li>\ud2b9\uc815 \uc0b0\uc5c5(\uc608: \uac8c\uc784, \uc790\ub3d9\ucc28) \uc758\uc874\ub3c4<\/li>\n<\/ul>\n<h3>2.2 \uc8fc\uc2dd \ub370\uc774\ud130 \uc218\uc9d1 \ubc29\ubc95<\/h3>\n<p>\uc8fc\uc2dd \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\ub294 \ubc29\ubc95\uc5d0\ub294 \uc5ec\ub7ec \uac00\uc9c0\uac00 \uc788\uc9c0\ub9cc, API\ub97c \ud1b5\ud574 \uc9c1\uc811 \ub370\uc774\ud130\ub97c \uac00\uc838\uc624\ub294 \uac83\uc774 \uc77c\ubc18\uc801\uc785\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Yahoo Finance API, Alpha Vantage \ub4f1\uc758 \uc11c\ube44\uc2a4\ub97c \uc774\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h2>\n<p>\ubaa8\ub378 \ud559\uc2b5\uc744 \uc704\ud574\uc11c\ub294 \ub370\uc774\ud130\uc758 \uc804\ucc98\ub9ac\uac00 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac \uacfc\uc815\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<h3>3.1 \uacb0\uce21\uce58 \ucc98\ub9ac<\/h3>\n<p>\uacb0\uce21\uce58\ub294 \ubaa8\ub378\uc758 \uc131\ub2a5\uc5d0 \ubd80\uc815\uc801\uc778 \uc601\ud5a5\uc744 \ubbf8\uce60 \uc218 \uc788\uc73c\ubbc0\ub85c, \uc774\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc0ad\uc81c: \uacb0\uce21\uce58\ub97c \ud3ec\ud568\ud55c \ud589 \uc81c\uac70<\/li>\n<li>\ub300\uccb4: \ud3c9\uade0, \uc911\uc559\uac12 \ub610\ub294 \ud2b9\uc815 \uac12\uc744 \uc774\uc6a9\ud55c \ub300\uccb4<\/li>\n<\/ul>\n<h3>3.2 \uc815\uaddc\ud654 \ubc0f \ud45c\uc900\ud654<\/h3>\n<p>\uc8fc\uc2dd \ub370\uc774\ud130\uc758 \ubc94\uc704\uac00 \ud070 \uacbd\uc6b0, \uc815\uaddc\ud654(Normalization) \ub610\ub294 \ud45c\uc900\ud654(Standardization) \uacfc\uc815\uc744 \ud1b5\ud574 \ub370\uc774\ud130\uc758 \uc2a4\ucf00\uc77c\uc744 \ub9de\ucda5\ub2c8\ub2e4.<\/p>\n<h2>4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378<\/h2>\n<p>\uc77c\ubcf8 \uc8fc\uc2dd \ub370\uc774\ud130\uc5d0\uc11c \uc0ac\uc6a9\ub420 \uc8fc\uc694 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<h3>4.1 \uc120\ud615 \ud68c\uadc0(Linear Regression)<\/h3>\n<p>\ub2e4\uc591\ud55c \uac00\uaca9 \uc608\uce21 \ubb38\uc81c\uc5d0 \ud65c\uc6a9\ub418\uba70, \uc131\ub2a5\uc774 \uac04\ub2e8\ud558\uace0 \ud574\uc11d\uc774 \uc27d\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.2 \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8(Random Forest)<\/h3>\n<p>\uacb0\uc815 \ud2b8\ub9ac\ub97c \uae30\ubc18\uc73c\ub85c \ud55c \uc559\uc0c1\ube14 \ubaa8\ub378\ub85c, \uacfc\uc801\ud569\uc744 \ubc29\uc9c0\ud558\uace0 \ub192\uc740 \uc608\uce21 \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<h3>4.3 \uc11c\ud3ec\ud2b8 \ubca1\ud130 \uba38\uc2e0(Support Vector Machine)<\/h3>\n<p>\ubd84\ub958 \ubb38\uc81c\uc5d0 \uc790\uc8fc \uc0ac\uc6a9\ub418\uba70, \ud2b9\ud788 \uace0\ucc28\uc6d0 \ub370\uc774\ud130\uc5d0\uc11c \ud6a8\uacfc\uc801\uc778 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n<h2>5. \ub525\ub7ec\ub2dd \ubaa8\ub378<\/h2>\n<p>\ub525\ub7ec\ub2dd\uc5d0\uc11c\ub3c4 \uc5ec\ub7ec \uac00\uc9c0 \uc2e0\uacbd\ub9dd \uad6c\uc870\uac00 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<h3>5.1 \ub2e4\uce35 \ud37c\uc149\ud2b8\ub860(MLP)<\/h3>\n<p>\uae30\ubcf8\uc801\uc778 \uc2e0\uacbd\ub9dd \uad6c\uc870\ub85c, \uc785\ub825\uce35, \uc740\ub2c9\uce35, \ucd9c\ub825\uce35\uc73c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4. \uac04\ub2e8\ud55c \uc608\uce21 \ubb38\uc81c\uc5d0 \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>5.2 \uc21c\ud658 \uc2e0\uacbd\ub9dd(RNN)<\/h3>\n<p>\uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\ub97c \ub2e4\ub8f0 \ub54c \uc801\ud569\ud55c \ubaa8\ub378\ub85c, \uc8fc\uc2dd \uac00\uaca9 \ub370\uc774\ud130\uc640 \uac19\uc774 \uc21c\ucc28\uc801\uc778 \uc131\uc9c8\uc744 \uac00\uc9c4 \ub370\uc774\ud130\uc5d0 \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<h3>5.3 LSTM(Long Short-Term Memory)<\/h3>\n<p>RNN\uc758 \ud55c \uc885\ub958\ub85c, \uae34 \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\uc5d0\uc11c \uc7a5\uae30 \uc758\uc874\uc131\uc744 \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc8fc\uc2dd \uc608\uce21\uc5d0 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h2>6. \ubaa8\ub378 \ud3c9\uac00<\/h2>\n<p>\ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc9c0\ud45c\uac00 \uc0ac\uc6a9\ub429\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc815\ud655\ub3c4(Accuracy)<\/li>\n<li>\uc815\ubc00\ub3c4(Precision)<\/li>\n<li>\uc7ac\ud604\uc728(Recall)<\/li>\n<li>F1-score<\/li>\n<\/ul>\n<p>\ub610\ud55c, \uad50\ucc28 \uac80\uc99d(Cross-validation)\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ud3c9\uac00\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<h2>7. \uc2e4\uc81c \uad6c\ud604 \uc0ac\ub840<\/h2>\n<p>\uc5ec\uae30\uc11c\ub294 Python\uacfc \uc8fc\uc694 \ub77c\uc774\ube0c\ub7ec\ub9ac(\uc608: pandas, scikit-learn, TensorFlow)\ub97c \uc774\uc6a9\ud55c \uac04\ub2e8\ud55c \uad6c\ud604 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>7.1 \ub370\uc774\ud130 \ub85c\ub4dc \ubc0f \uc804\ucc98\ub9ac<\/h3>\n<pre><code>\nimport pandas as pd\n\n# \ub370\uc774\ud130 \ub85c\ub4dc\ndata = pd.read_csv('yahoo_stock_data.csv')\n\n# \uacb0\uce21\uce58 \ucc98\ub9ac\ndata.fillna(method='ffill', inplace=True)\n\n# \uc815\uaddc\ud654\ndata['Close'] = (data['Close'] - data['Close'].mean()) \/ data['Close'].std()\n    <\/code><\/pre>\n<h3>7.2 \ubaa8\ub378 \ud6c8\ub828<\/h3>\n<pre><code>\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestRegressor\n\n# \ud6c8\ub828 \ubc0f \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130 \ubd84\ub9ac\nX = data[['Open', 'High', 'Low', 'Volume']]\ny = data['Close']\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8 \ubaa8\ub378 \ud6c8\ub828\nmodel = RandomForestRegressor(n_estimators=100)\nmodel.fit(X_train, y_train)\n    <\/code><\/pre>\n<h3>7.3 \uc131\ub2a5 \ud3c9\uac00<\/h3>\n<pre><code>\nfrom sklearn.metrics import mean_squared_error\n\n# \uc608\uce21\npredictions = model.predict(X_test)\n\n# \uc131\ub2a5 \ud3c9\uac00\nmse = mean_squared_error(y_test, predictions)\nprint(f'Mean Squared Error: {mse}')\n    <\/code><\/pre>\n<h2>8. \uacb0\ub860<\/h2>\n<p>\uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\ubc95\uc744 \uc774\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\ub97c \ub2e4\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uc77c\ubcf8 \uc8fc\uc2dd \uc2dc\uc7a5\uc758 \ud2b9\uc131\uacfc \ub370\uc774\ud130 \uc218\uc9d1 \ubc29\ubc95, \ubaa8\ub378 \ud6c8\ub828 \ubc0f \ud3c9\uac00 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c \uc8fc\uc2dd \ub370\uc774\ud130\uc5d0 \uae30\ubc18\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ubcf5\uc7a1\ud558\uc9c0\ub9cc, \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \ud22c\uc790 \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\ub294 \uae30\ud68c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804\uc5d0 \ud798\uc785\uc5b4, \uc55e\uc73c\ub85c \ub354\uc6b1 \ubc1c\uc804\ud560 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac00\ub2a5\uc131\uc744 \uae30\ub300\ud574 \ubd05\ub2c8\ub2e4.<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud604\ub300 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ub9ce\uc740 \ud22c\uc790\uc790\ub4e4\uacfc \uae30\uad00 \ud22c\uc790\uc790\ub4e4\uc5d0\uac8c \ud544\uc218\uc801\uc778 \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc740 \uc774\ub7ec\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ud575\uc2ec\uc801\uc778 \uc694\uc18c\ub85c, \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \ud559\uc2b5\ud558\uace0, \uc608\uce21 \ubaa8\ub378\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \ubcf8 \uac15\uc88c\uc5d0\uc11c\ub294 \uc77c\ubcf8 \uc8fc\uc2dd \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc801\uc6a9 \uc0ac\ub840\uc640 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ubcf8 \uc774\ud574 1.1 \uba38\uc2e0\ub7ec\ub2dd\uc774\ub780? \uba38\uc2e0\ub7ec\ub2dd\uc740 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