\uacc4\uc18d\uc801\uc778 \uac1c\uc120:<\/strong> \uc2dc\uac04\uc774 \uc9c0\ub0a8\uc5d0 \ub530\ub77c \ubaa8\ub378\uc774 \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubcf4\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n2. \ube44\ud2b8\ucf54\uc778 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c \uc124\uacc4<\/h2>\n2.1. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n
\ube44\ud2b8\ucf54\uc778 \uac00\uaca9 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c API\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, Binance, Kraken\uc640 \uac19\uc740 \uac70\ub798\uc18c\uc758 API\ub97c \ud1b5\ud574 \uc2e4\uc2dc\uac04\uc73c\ub85c \uac00\uaca9 \ub370\uc774\ud130\ub97c \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
import requests\nimport pandas as pd\n\ndef fetch_bitcoin_data():\n url = \"https:\/\/api.binance.com\/api\/v3\/klines?symbol=BTCUSDT&interval=1m&limit=100\"\n response = requests.get(url)\n data = response.json()\n df = pd.DataFrame(data, columns=['Open Time', 'Open', 'High', 'Low', 'Close', 'Volume', \n 'Close Time', 'Quote Asset Volume', 'Number of Trades', \n 'Taker Buy Base Asset Volume', 'Taker Buy Quote Asset Volume', 'Ignore'])\n return df[['Open Time', 'Open', 'High', 'Low', 'Close', 'Volume']]<\/code><\/pre>\n2.2. \ud2b9\uc9d5 \ubc0f \ubaa9\ud45c \ubcc0\uc218 \uc0dd\uc131<\/h3>\n
\ube44\ud2b8\ucf54\uc778 \ubaa8\ub378\uc5d0\uc11c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \uc77c\ubd80 \ud2b9\uc9d5\uc73c\ub85c\ub294:<\/p>\n
\n- \uc774\ub3d9\ud3c9\uade0<\/li>\n
- \uc0c1\ub300\uac15\ub3c4\uc9c0\uc218(RSI)<\/li>\n
- \ubcfc\ub9b0\uc800 \ubc34\ub4dc<\/li>\n
- \uac70\ub798\ub7c9<\/li>\n<\/ul>\n
\ubaa9\ud45c \ubcc0\uc218\ub294 \ub9e4\uc218 \ub610\ub294 \ub9e4\ub3c4\ub97c \uacb0\uc815\ud558\ub294 \uc2e0\ud638\ub85c, \uc77c\ubc18\uc801\uc73c\ub85c ‘\uc0c1\uc2b9’, ‘\ud558\ub77d’\uc73c\ub85c \uc124\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
def create_features(df):\n df['Close'] = df['Close'].astype(float)\n df['Open'] = df['Open'].astype(float)\n df['High'] = df['High'].astype(float)\n df['Low'] = df['Low'].astype(float)\n \n df['SMA'] = df['Close'].rolling(window=5).mean()\n df['Volume'] = df['Volume'].astype(float)\n df['Signal'] = (df['Close'].shift(-1) > df['Close']).astype(int)\n \n df.dropna(inplace=True)\n return df<\/code><\/pre>\n2.3. \ubaa8\ub378 \uc120\ud0dd \ubc0f \uad6c\uc131<\/h3>\n
\ube44\ud2b8\ucf54\uc778 \uc608\uce21\uc744 \uc704\ud574 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc5d0\ub294 \ub2e4\uc591\ud55c \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8, SVM, LSTM \ub4f1\uc758 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc5d0\uc11c\ub294 LSTM(Long Short-Term Memory) \ub124\ud2b8\uc6cc\ud06c\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130\uc758 \ud2b9\uc131\uc744 \uc798 \ud559\uc2b5\ud560 \uc218 \uc788\ub3c4\ub85d \ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
import numpy as np\nfrom keras.models import Sequential\nfrom keras.layers import LSTM, Dense, Dropout\n\ndef create_lstm_model(input_shape):\n model = Sequential()\n model.add(LSTM(50, return_sequences=True, input_shape=input_shape))\n model.add(Dropout(0.2))\n model.add(LSTM(50, return_sequences=False))\n model.add(Dropout(0.2))\n model.add(Dense(1, activation='sigmoid'))\n model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n return model<\/code><\/pre>\n3. \uc628\ub77c\uc778 \ud559\uc2b5 \uad6c\ud604<\/h2>\n3.1. \ubaa8\ub378 \ud559\uc2b5 \ubc0f \uc5c5\ub370\uc774\ud2b8<\/h3>\n
\uc628\ub77c\uc778 \ud559\uc2b5\uc5d0\uc11c\ub294 \uc2e4\uc2dc\uac04\uc73c\ub85c \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub97c \ubc1b\uc544\uc11c \ubaa8\ub378\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4. \ub370\uc774\ud130\uac00 \uc218\uc9d1\ub420 \ub54c\ub9c8\ub2e4 \ubaa8\ub378\uc758 \uac00\uc911\uce58\ub97c \uc5c5\ub370\uc774\ud2b8\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n
def online_learning(model, new_data):\n X, y = prepare_data(new_data) # prepare_data\ub294 \ub370\uc774\ud130\ub97c \ubaa8\ub378 \uc785\ub825 \ud615\uc2dd\uc73c\ub85c \uc900\ube44\ud558\ub294 \ud568\uc218\uc785\ub2c8\ub2e4.\n model.fit(X, y, epochs=1, verbose=0)\n return model<\/code><\/pre>\n3.2. \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131<\/h3>\n
\ubaa8\ub378\uc774 \ud559\uc2b5\ub41c \ud6c4, \uc2e4\uc2dc\uac04 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ub9e4\uc218 \ubc0f \ub9e4\ub3c4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n
def generate_signals(model, latest_data):\n predictions = model.predict(latest_data) # latest_data\ub294 \ub9c8\uc9c0\ub9c9 n\uac1c\uc758 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc785\ub2c8\ub2e4.\n signals = np.where(predictions > 0.5, 1, 0) # 1\uc740 \ub9e4\uc218, 0\uc740 \ub9e4\ub3c4\n return signals<\/code><\/pre>\n3.3. \ub9e4\ub9e4 \uc2e4\ud589<\/h3>\n
\uc0dd\uc131\ub41c \uc2e0\ud638\uc5d0 \ub530\ub77c \uc2e4\uc81c\ub85c \ub9e4\ub9e4\ub97c \uc2e4\ud589\ud558\ub294 \uae30\ub2a5\uc744 \ucd94\uac00\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774 \ubd80\ubd84\uc740 \uac70\ub798\uc18c API\ub97c \ud1b5\ud574 \uc9c1\uc811 \uac70\ub798\ub97c \uc218\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/p>\n
def execute_trade(signal):\n if signal == 1:\n # \ub9e4\uc218 \ucf54\ub4dc\n print(\"\ub9e4\uc218 \uc8fc\ubb38\uc744 \uc2e4\ud589\ud569\ub2c8\ub2e4.\")\n elif signal == 0:\n # \ub9e4\ub3c4 \ucf54\ub4dc\n print(\"\ub9e4\ub3c4 \uc8fc\ubb38\uc744 \uc2e4\ud589\ud569\ub2c8\ub2e4.\")\n<\/code><\/pre>\n4. \uad8c\uc7a5 \uc0ac\ud56d \ubc0f \uacb0\ub860<\/h2>\n
\ube44\ud2b8\ucf54\uc778 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \uac83\uc740 \uad49\uc7a5\ud788 \ub9e4\ub825\uc801\uc778 \uc77c\uc774\uc9c0\ub9cc, \uba87 \uac00\uc9c0 \uc720\uc758\uc0ac\ud56d\uc774 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n- \ub370\uc774\ud130 \ud488\uc9c8:<\/strong> \uc2e0\ub8b0\ud560 \uc218 \uc788\ub294 \ub370\uc774\ud130 \uc18c\uc2a4\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/li>\n
- \uacfc\uc801\ud569 \ubc29\uc9c0:<\/strong> \uc9c0\ub098\uce58\uac8c \ubcf5\uc7a1\ud55c \ubaa8\ub378\uc740 \uacfc\uc801\ud569\uc758 \uc704\ud5d8\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub530\ub77c\uc11c \uc815\uae30\uc801\uc73c\ub85c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0 \uc870\uc815\ud558\ub294 \uac83\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/li>\n
- \uc704\ud5d8 \uad00\ub9ac:<\/strong> \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc774 \ud56d\uc0c1 \uc633\uc740 \uacb0\uc815\uc744 \ub0b4\ub9ac\uc9c0\ub294 \uc54a\uc73c\ubbc0\ub85c, \uc190\uc2e4\uc744 \ucd5c\uc18c\ud654\ud558\uae30 \uc704\ud55c \uc804\ub7b5\uc744 \uc138\uc6b0\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
\uc774 \uae00\uc5d0\uc11c\ub294 \uc628\ub77c\uc778 \ud559\uc2b5\uc744 \ud1b5\ud574 \ube44\ud2b8\ucf54\uc778 \uc790\ub3d9\ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uc9c0\uc18d\uc801\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uace0 \uc801\uc751\ud558\ub294 \uc2dc\uc2a4\ud15c\uc740 \ubcc0\ub3d9\uc131\uc774 \ud070 \uc554\ud638\ud654\ud3d0 \uc2dc\uc7a5\uc5d0\uc11c \uacbd\uc7c1\ub825\uc744 \uc720\uc9c0\ud558\ub294 \ub370 \ud070 \ub3c4\uc6c0\uc774 \ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc8fc\uc2dd \ubc0f \uc554\ud638\ud654\ud3d0 \uc2dc\uc7a5\uc740 \uc608\uce21\uc774 \uc5b4\ub835\uace0 \ub192\uc740 \ubcc0\ub3d9\uc131\uc744 \uac00\uc9c0\uae30 \ub54c\ubb38\uc5d0, \ub525\ub7ec\ub2dd \ubc0f \uba38\uc2e0\ub7ec\ub2dd \uae30\uc220\uc774 \ub9e4\uc6b0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uc554\ud638\ud654\ud3d0\uc640 \uac19\uc740 \uc9c0\ud45c\uac00 \uc2e4\uc2dc\uac04\uc73c\ub85c \ubcc0\ud560 \uc218 \uc788\ub294 \uc2dc\uc7a5\uc5d0\uc11c\ub294 \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378\uc774 \ud6a8\uacfc\uc801\uc73c\ub85c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \uc2e0\uc18d\ud558\uac8c \ub300\uc751\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc628\ub77c\uc778 \ud559\uc2b5 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc2e4\uc2dc\uac04\uc73c\ub85c \ube44\ud2b8\ucf54\uc778 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uc5ec \uc790\ub3d9\uc73c\ub85c \ub9e4\ub9e4\ub97c \uc218\ud589\ud558\ub294 \uc2dc\uc2a4\ud15c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc5d0 … \ub354 \ubcf4\uae30 “\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378 \uad6c\ucd95 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc744 \ud1b5\ud574 \ube60\ub974\uac8c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \ub300\uc751.”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-31405","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"\n\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378 \uad6c\ucd95 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc744 \ud1b5\ud574 \ube60\ub974\uac8c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \ub300\uc751. - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/31405\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378 \uad6c\ucd95 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc744 \ud1b5\ud574 \ube60\ub974\uac8c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \ub300\uc751. - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc8fc\uc2dd \ubc0f \uc554\ud638\ud654\ud3d0 \uc2dc\uc7a5\uc740 \uc608\uce21\uc774 \uc5b4\ub835\uace0 \ub192\uc740 \ubcc0\ub3d9\uc131\uc744 \uac00\uc9c0\uae30 \ub54c\ubb38\uc5d0, \ub525\ub7ec\ub2dd \ubc0f \uba38\uc2e0\ub7ec\ub2dd \uae30\uc220\uc774 \ub9e4\uc6b0 \uc720\uc6a9\ud558\uac8c \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \uc554\ud638\ud654\ud3d0\uc640 \uac19\uc740 \uc9c0\ud45c\uac00 \uc2e4\uc2dc\uac04\uc73c\ub85c \ubcc0\ud560 \uc218 \uc788\ub294 \uc2dc\uc7a5\uc5d0\uc11c\ub294 \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378\uc774 \ud6a8\uacfc\uc801\uc73c\ub85c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \uc2e0\uc18d\ud558\uac8c \ub300\uc751\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc628\ub77c\uc778 \ud559\uc2b5 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uace0, \uc2e4\uc2dc\uac04\uc73c\ub85c \ube44\ud2b8\ucf54\uc778 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uc5ec \uc790\ub3d9\uc73c\ub85c \ub9e4\ub9e4\ub97c \uc218\ud589\ud558\ub294 \uc2dc\uc2a4\ud15c\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc5d0 … \ub354 \ubcf4\uae30 "\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378 \uad6c\ucd95 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc744 \ud1b5\ud574 \ube60\ub974\uac8c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \ub300\uc751."\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/31405\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T12:01:47+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:45:16+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/31405\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/31405\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378 \uad6c\ucd95 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc744 \ud1b5\ud574 \ube60\ub974\uac8c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \ub300\uc751.\",\"datePublished\":\"2024-10-28T12:01:47+00:00\",\"dateModified\":\"2024-11-26T06:45:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/31405\/\"},\"wordCount\":16,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ub525\ub7ec\ub2dd \uba38\uc2e0\ub7ec\ub2dd \uc790\ub3d9 \ud2b8\ub808\uc774\ub529\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/31405\/\",\"url\":\"https:\/\/atmokpo.com\/w\/31405\/\",\"name\":\"\ub525\ub7ec\ub2dd\uacfc \uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\ub3d9\ub9e4\ub9e4, \uc628\ub77c\uc778 \ud559\uc2b5(Online Learning) \ubaa8\ub378 \uad6c\ucd95 \uc2e4\uc2dc\uac04\uc73c\ub85c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\ub294 \ubaa8\ub378\uc744 \ud1b5\ud574 \ube60\ub974\uac8c \uc2dc\uc7a5 \ubcc0\ud654\uc5d0 \ub300\uc751. - 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