{"id":29267,"date":"2024-10-27T16:17:35","date_gmt":"2024-10-27T16:17:35","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29267"},"modified":"2024-11-26T06:53:21","modified_gmt":"2024-11-26T06:53:21","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-%ec%9e%a0%ec%9e%ac-%ed%86%a0%ed%94%bd-%ed%95%99","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29267\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5 \ubaa9\uc801\uacfc \uc811\uadfc\ubc95"},"content":{"rendered":"

<\/p>\n

\n \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc790\ub3d9\ud654\uc640 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc73c\uba70, \uc774\ub294 \ub370\uc774\ud130 \ubd84\uc11d\uc758 \ubc1c\uc804\uacfc \ub354\ubd88\uc5b4 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ud0dd\uc774\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ubcf8 \uac1c\ub150, \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc758 \ud544\uc694\uc131\uacfc \uadf8 \uc811\uadfc\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\ub2e4.\n<\/p>\n

1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574<\/h2>\n

\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ubbf8\ub9ac \uc815\uc758\ub41c \uaddc\uce59\uc774\ub098 \ubaa8\ub378\uc5d0 \ub530\ub77c \uc790\ub3d9\uc73c\ub85c \uc8fc\uc2dd\uc774\ub098 \uc790\uc0b0\uc744 \ub9e4\ub9e4\ud558\ub294 \ubc29\uc2dd\uc774\ub2e4. \uc774\ub7ec\ud55c \ub9e4\ub9e4 \ubc29\uc2dd\uc740 \uc778\uac04\uc758 \uac10\uc815\uc744 \ubc30\uc81c\ud558\uace0, \ub370\uc774\ud130\uc640 \ud1b5\uacc4\ub97c \uae30\ubc18\uc73c\ub85c \ud55c \ub354 \ub098\uc740 \uacb0\uc815\uc73c\ub85c \uc774\uc5b4\uc9c8 \uc218 \uc788\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \ud575\uc2ec\uc740 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0, \uc774\ub97c \ubd84\uc11d\ud558\uc5ec \uc2dc\uc7a5\uc758 \ub3d9\ud5a5\uc744 \uc774\ud574\ud558\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \uc989\uac01\uc801\uc73c\ub85c \ub9e4\ub9e4 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \uac83\uc774\ub2e4.\n<\/p>\n

1.1. \ub370\uc774\ud130\uc758 \uc911\uc694\uc131<\/h3>\n

\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \ub370\uc774\ud130\ub294 \ubaa8\ub4e0 \uac83\uc758 \uae30\ucd08\uac00 \ub41c\ub2e4. \uc218\uc5b5 \uac1c\uc758 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\ub294 \uc2dc\uc7a5\uc758 \ub3d9\ud5a5\uc744 \uc774\ud574\ud558\ub294 \ub370 \ud544\uc694\ud55c \ud1b5\ucc30\ub825\uc744 \ud5a5\uc0c1\uc2dc\ud0a8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc740 \uc774 \ub300\uaddc\ubaa8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0, \ubcf8\uc9c8\uc801\uc778 \ud328\ud134\uc744 \ucc3e\uc544\ub0b4\ub294 \ub370 \uc8fc\ub85c \uc0ac\uc6a9\ub41c\ub2e4. \ub370\uc774\ud130 \uc720\ud615\uc5d0\ub294 \uac00\uaca9 \ub370\uc774\ud130, \uac70\ub798\ub7c9, \ub274\uc2a4 \uae30\uc0ac, \uc18c\uc15c \ubbf8\ub514\uc5b4 \uc5b8\uae09 \ub4f1\uc774 \ud3ec\ud568\ub41c\ub2e4.\n<\/p>\n

1.2. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc5ed\ud560<\/h3>\n

\n \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uace0, \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ub370 \uc0ac\uc6a9\ub418\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\uc774\ub2e4. \uc774\ub97c \ud1b5\ud574 \uacfc\uac70\uc758 \ub370\uc774\ud130\ub97c \ubc14\ud0d5\uc73c\ub85c \ubbf8\ub798\uc758 \uac00\uaca9 \uc6c0\uc9c1\uc784\uc774\ub098 \ud2b8\ub80c\ub4dc\ub97c \uc608\uce21\ud560 \uc218 \uc788\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uc5d0\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc54c\uace0\ub9ac\uc998\uc774 \uc874\uc7ac\ud558\uba70, \uac01 \uc54c\uace0\ub9ac\uc998\uc758 \uc131\ub2a5\uc740 \ub370\uc774\ud130\uc758 \ud2b9\uc131\uacfc \ubaa9\ud45c\uc5d0 \ub530\ub77c \ub2ec\ub77c\uc9c4\ub2e4.\n<\/p>\n

2. \ub525\ub7ec\ub2dd\uc758 \uc9c4\ud654<\/h2>\n

\n \ub525\ub7ec\ub2dd\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \uc885\ub958\ub85c, \uc778\uacf5\uc2e0\uacbd\ub9dd\uc744 \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc774\ub2e4. \ud2b9\ud788 \uc774\ubbf8\uc9c0\ub098 \uc74c\uc131 \uc778\uc2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0 \uac15\uc810\uc744 \ubcf4\uc774\uba70, \uc774\ub7ec\ud55c \ud2b9\uc9d5\uc740 \uae08\uc735 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\ub3c4 \uc801\uc6a9\ub420 \uc218 \uc788\ub2e4. \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud558\uba74 \ubcf5\uc7a1\ud55c \ube44\uc120\ud615 \uad00\uacc4\ub97c \ubaa8\ub378\ub9c1\ud558\uc5ec \ub354 \ub192\uc740 \uc608\uce21 \uc131\ub2a5\uc744 \uae30\ub300\ud560 \uc218 \uc788\ub2e4.\n<\/p>\n

2.1. \uc2e0\uacbd\ub9dd\uc758 \uad6c\uc870<\/h3>\n

\n \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 \uc5ec\ub7ec \uac1c\uc758 \ub808\uc774\uc5b4\ub85c \uad6c\uc131\ub41c \uc2e0\uacbd\ub9dd\uc73c\ub85c \uad6c\ucd95\ud55c\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc785\ub825 \ub808\uc774\uc5b4, \uc740\ub2c9 \ub808\uc774\uc5b4(\ub4e4), \ucd9c\ub825 \ub808\uc774\uc5b4\ub85c \ub098\ub25c\ub2e4. \uac01 \ub808\uc774\uc5b4\ub294 \uc774\uc804 \ub808\uc774\uc5b4\uc5d0\uc11c \uc804\ub2ec\ubc1b\uc740 \uc815\ubcf4\ub97c \ubc14\ud0d5\uc73c\ub85c \ubcc0\ud615\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \uc720\uc758\ubbf8\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud55c\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c Backpropagation\uacfc \uac19\uc740 \uc54c\uace0\ub9ac\uc998\uc744 \ud1b5\ud574 \uc2e0\uacbd\ub9dd\uc758 \uac00\uc911\uce58\uac00 \uc5c5\ub370\uc774\ud2b8\ub41c\ub2e4.\n<\/p>\n

2.2. \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5<\/h3>\n

\n \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uace0\ucc28\uc6d0 \ud2b9\uc131 \uacf5\uac04\uc5d0\uc11c \ud328\ud134 \uc778\uc2dd\uc758 \uac15\uc810\uc744 \ud65c\uc6a9\ud55c\ub2e4. \uc608\ub97c \ub4e4\uc5b4, LSTM(Long Short-Term Memory) \ub124\ud2b8\uc6cc\ud06c\ub294 \uc2dc\uac04 \uc21c\uc11c\uac00 \uc788\ub294 \ub370\uc774\ud130\uc5d0\uc11c \uc7a5\uae30 \uc758\uc874\uc131\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \uc801\ud569\ud558\uc5ec \uc8fc\uc2dd \uac00\uaca9 \uc608\uce21\uc5d0 \uc720\uc6a9\ud558\ub2e4. \uc774\ub7ec\ud55c \uad6c\uc870\ub294 \uc8fc\uac00\uc758 \uc5ed\uc0ac\uc801 \ub370\uc774\ud130\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc544 \ubbf8\ub798\uc758 \uac00\uaca9 \ubcc0\ud654\ub97c \uc608\uce21\ud55c\ub2e4.\n<\/p>\n

3. \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc758 \uac1c\uc694<\/h2>\n

\n \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5(Latent Topic Modeling)\uc740 \ub300\ub7c9\uc758 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \uc774\uc5d0 \uc228\uaca8\uc9c4 \uc8fc\uc81c\ub97c \ucc3e\uc544\ub0b4\ub294 \uae30\ubc95\uc774\ub2e4. \uc774 \uae30\ubc95\uc740 \ub274\uc2a4 \uae30\uc0ac, \uc18c\uc15c \ubbf8\ub514\uc5b4 \ub370\uc774\ud130 \ub4f1 \ube44\uc815\ud615 \ub370\uc774\ud130\uc758 \uc8fc\uc694 \uc8fc\uc81c\ub97c \ud30c\uc545\ud558\ub294 \ub370 \uc720\uc6a9\ud558\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc2dc\uc7a5 \ubc18\uc751\uc744 \uc608\uce21\ud558\uace0, \ud22c\uc790 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \ud544\uc694\ud55c \uc2ec\ub9ac\uc801\uc778 \uc694\uc18c\ub97c \uc774\ud574\ud560 \uc218 \uc788\ub2e4.\n<\/p>\n

3.1. \uc7a0\uc7ac \ud1a0\ud53d \ubaa8\ub378\ub9c1 \uae30\ubc95<\/h3>\n

\n \uc7a0\uc7ac \ud1a0\ud53d \ubaa8\ub378\ub9c1\uc5d0\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uae30\ubc95\uc774 \uc874\uc7ac\ud558\uc9c0\ub9cc, \uac00\uc7a5 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc740 Latent Dirichlet Allocation (LDA)\uc774\ub2e4. LDA\ub294 \uac01 \ubb38\uc11c\ub97c \uc5ec\ub7ec \ud1a0\ud53d\uc758 \ud63c\ud569\uc73c\ub85c \ubcf4\uace0, \uac01 \ud1a0\ud53d\uc740 \ub2e8\uc5b4\uc758 \ud655\ub960 \ubd84\ud3ec\ub85c \ub098\ud0c0\ub0b8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uae30\uc5c5\uc5d0 \ub300\ud55c \ud22c\uc790\uc790\ub4e4\uc758 \uac10\uc815\uc744 \ubd84\uc11d\ud560 \uc218 \uc788\uc73c\uba70, \uc774 \uc815\ubcf4\ub97c \uae30\uc874\uc758 \uac00\uaca9 \ub370\uc774\ud130\uc640 \uacb0\ud569\ud574 \ub354\uc6b1 \uc815\uad50\ud55c \uc608\uce21 \ubaa8\ub378\uc744 \uad6c\ucd95\ud560 \uc218 \uc788\ub2e4.\n<\/p>\n

3.2. \ub370\uc774\ud130 \uc218\uc9d1 \ubc0f \uc804\ucc98\ub9ac<\/h3>\n

\n \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc744 \uc704\ud574\uc11c\ub294 \uba3c\uc800 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud574\uc57c \ud55c\ub2e4. \uc774\ub294 \ub274\uc2a4API, \ud2b8\uc704\ud130 API, \ub610\ub294 \uc6f9 \uc2a4\ud06c\ub798\ud551 \uae30\uc220\uc744 \ud65c\uc6a9\ud560 \uc218 \uc788\ub2e4. \uc218\uc9d1\ud55c \ub370\uc774\ud130\ub294 \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \uac70\uccd0\uc57c \ud558\uba70, \uc77c\ubc18\uc801\uc73c\ub85c \ud544\uc694 \uc5c6\ub294 \ub2e8\uc5b4 \uc81c\uac70, \ubd88\uc6a9\uc5b4 \ucc98\ub9ac, \ud1a0\ud070\ud654, \uc5b4\uac04 \ucd94\ucd9c \ub4f1\uc758 \ub2e8\uacc4\ub97c \ud3ec\ud568\ud55c\ub2e4.\n<\/p>\n

4. \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc758 \uc801\uc6a9<\/h2>\n

\n \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc744 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0 \uc801\uc6a9\ud558\ub294 \ubc29\ubc95\uc740 \uc5ec\ub7ec \uac00\uc9c0\uac00 \uc788\ub2e4. \uc8fc\uc694 \uc811\uadfc\ubc95 \uc911 \ud558\ub098\ub294 \uac00\uaca9 \ub370\uc774\ud130\uc640 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uacb0\ud569\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ud2b9\uc131\uc744 \uc0dd\uc131\ud558\ub294 \uac83\uc774\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ucd5c\uc885 \ubaa8\ub378\uc758 \uc785\ub825\uc73c\ub85c \uac00\uaca9 \ub370\uc774\ud130\uc640 \ud568\uaed8 \uac01 \ud1a0\ud53d\uc758 \ud655\ub960\ubd84\ud3ec\ub97c \ud3ec\ud568\uc2dc\ucf1c, \ub525\ub7ec\ub2dd \ubaa8\ub378\uc774 \ub354\uc6b1 \ud48d\ubd80\ud55c \uc815\ubcf4\ub97c \ud65c\uc6a9\ud558\ub3c4\ub85d \ud560 \uc218 \uc788\ub2e4.\n<\/p>\n

4.1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c\uc758 \uc608\uce21\ub825 \ud5a5\uc0c1<\/h3>\n

\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc758 \uc131\ub2a5\uc744 \uac1c\uc120\ud558\uae30 \uc704\ud574 \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc73c\ub85c \uc5bb\uc740 \uc778\uc0ac\uc774\ud2b8\ub97c \uc774\uc6a9\ud574 \uc608\uce21 \ubaa8\ub378\uc744 \uac15\ud654\ud560 \uc218 \uc788\ub2e4. \uc774\ub294 \uc7a0\uc7ac\uc801\uc778 \uc2dc\uc7a5 \ubcc0\ub3d9\uc131\uc744 \uc55e\uc11c \uc608\uce21\ud558\uace0, \ub9e4\ub3c4\ub97c \ud560 \uc2dc\uc810\uc744 \uacb0\uc815\ud558\ub294 \ub370 \uc720\uc6a9\ud558\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uae0d\uc815\uc801\uc778 \ub274\uc2a4 \uae30\uc0ac\uac00 \ub9ce\uc740 \ud1a0\ud53d\uc774 \ubc1c\uacac\ub418\uba74 \ud574\ub2f9 \uc8fc\uc2dd\uc758 \ub9e4\uc218 \uc2e0\ud638\ub85c \ud574\uc11d\ud560 \uc218 \uc788\ub2e4.\n<\/p>\n

4.2. \uacb0\ud569\ub41c \ubaa8\ub378\uc758 \uc131\ub2a5 \ud3c9\uac00<\/h3>\n

\n \uacb0\ud569\ub41c \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \uad50\ucc28 \uac80\uc99d\uacfc \uac19\uc740 \ubc29\ubc95\ub860\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \uc131\ub2a5\uc744 \ud655\uc778\ud560 \uc218 \uc788\ub2e4. \ub610\ud55c, \ubaa8\ub378\uc758 \uc608\uce21 \uacb0\uacfc\uc640 \uc2e4\uc81c \uc218\uc775\ub960\uc744 \ube44\uad50\ud558\uc5ec \uc131\ub2a5 \uc9c0\ud45c(\uc608: Sharpe \ube44\uc728)\ub97c \ubd84\uc11d\ud568\uc73c\ub85c\uc368, \uc2e4\uc9c8\uc801\uc778 \ud22c\uc790 \uac00\uce58\uac00 \uc788\ub294\uc9c0\ub97c \uac80\ud1a0\ud560 \uc218 \uc788\ub2e4.\n<\/p>\n

5. \uc2e4\uc2b5: \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529 \uad6c\ud604<\/h2>\n

\n \uc774 \ubd80\ubd84\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc2e4\uc81c \uad6c\ud604 \uacfc\uc815\uc744 \uc18c\uac1c\ud558\uaca0\ub2e4. \uac01 \ub2e8\uacc4\ub294 Python \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4 \ubc0f \uad00\ub828 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc9c4\ud589\ub41c\ub2e4. \uc774\ub97c \ud1b5\ud574 \ub3c5\uc790\ub4e4\uc774 \uc774\ub860\uc801\uc778 \uc9c0\uc2dd\uc744 \uc2e4\uc81c\ub85c \uad6c\ud604\uac00\ub2a5\ud55c \uae30\uc220\ub85c \ubc1c\uc804\uc2dc\ud0ac \uc218 \uc788\ub294 \uae38\uc7a1\uc774\ub97c \uc81c\uc2dc\ud560 \uac83\uc774\ub2e4.\n<\/p>\n

5.1. \ud658\uacbd \uc124\uc815<\/h3>\n

\n \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uad6c\ud604\uc744 \uc704\ud574\uc11c\ub294 \uc218\uc9d1\ud55c \ub370\uc774\ud130\uc640 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud55c \ud658\uacbd\uc774 \ud544\uc694\ud558\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c\ub294 pandas<\/code>, numpy<\/code>, scikit-learn<\/code>, tensorflow<\/code>, keras<\/code> \ub4f1\uc774 \uc788\uc73c\uba70, \uc774\ub97c \ud1b5\ud574 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0, \ubaa8\ub378\uc744 \uc124\uacc4\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc900\ub2e4.\n<\/p>\n

5.2. \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n

\n \uc544\ub798\uc758 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc8fc\uac00 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud560 \uc218 \uc788\ub2e4. \uc5ec\uae30\uc11c\ub294 Yahoo Finance API\ub97c \ud65c\uc6a9\ud55c \uc608\uc2dc\ub97c \ubcf4\uc5ec\uc900\ub2e4:\n<\/p>\n

import pandas as pd\nimport yfinance as yf\n\n# \ud2b9\uc815 \uc8fc\uc2dd\uc758 \ub370\uc774\ud130 \uc218\uc9d1\nticker = \"AAPL\"\ndata = yf.download(ticker, start=\"2020-01-01\", end=\"2023-01-01\")\ndata.reset_index(inplace=True)\nprint(data)\n<\/code><\/pre>\n
5.3. \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n
\n    \uc218\uc9d1\ud55c \ub370\uc774\ud130\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \uc804\ucc98\ub9ac \uacfc\uc815\uc744 \uac70\uccd0\uc57c \ud558\uba70, \uc544\ub798\uc640 \uac19\uc740 \ubc29\ubc95\uc73c\ub85c \uacb0\uce21\uac12 \ubc0f \uc774\uc0c1\uce58\ub97c \ucc98\ub9ac\ud558\uace0, \ud544\uc694\ud55c \uacbd\uc6b0 \ud53c\ucc98 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1\uc744 \uc218\ud589\ud55c\ub2e4:\n<\/p>\n
# \uacb0\uce21\uac12 \ucc98\ub9ac\ndata.fillna(method='ffill', inplace=True)\n\n# \ud544\uc694\ud55c \ud53c\ucc98 \uc0dd\uc131\ndata['Returns'] = data['Close'].pct_change()\ndata.dropna(inplace=True)\n<\/code><\/pre>\n
5.4. \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95<\/h3>\n
\n    \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574 scikit-learn<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud560 \uc218 \uc788\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub2e4:\n<\/p>\n
from sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\n\n# \ub3c5\ub9bd\ubcc0\uc218\uc640 \uc885\uc18d\ubcc0\uc218 \uc124\uc815\nX = data[['Open', 'High', 'Low', 'Volume']]\ny = (data['Returns'] > 0).astype(int)\n\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 = RandomForestClassifier()\nmodel.fit(X_train, y_train)\n<\/code><\/pre>\n
5.5. \ub525\ub7ec\ub2dd \ubaa8\ub378 \uad6c\ucd95<\/h3>\n
\n    \ub525\ub7ec\ub2dd \ubaa8\ub378\uc740 tensorflow<\/code> \ubc0f keras<\/code>\ub97c \ud65c\uc6a9\ud558\uc5ec \uad6c\uc131 \uac00\ub2a5\ud558\ub2e4. \uc544\ub798\ub294 \uae30\ubcf8\uc801\uc778 LSTM \ubaa8\ub378\uc758 \uad6c\ucd95 \uc608\uc2dc\uc774\ub2e4.\n<\/p>\n
from keras.models import Sequential\nfrom keras.layers import LSTM, Dense, Dropout\n\n# \ub370\uc774\ud130\uc758 \ud615\ud0dc \ubcc0\ud658\nX = X.values.reshape((X.shape[0], X.shape[1], 1))\n\n# LSTM \ubaa8\ub378 \uad6c\ucd95\nmodel = Sequential()\nmodel.add(LSTM(50, return_sequences=True, input_shape=(X.shape[1], 1)))\nmodel.add(Dropout(0.2))\nmodel.add(LSTM(50, return_sequences=False))\nmodel.add(Dropout(0.2))\nmodel.add(Dense(1, activation='sigmoid'))\n\n# \ubaa8\ub378 \ucef4\ud30c\uc77c\nmodel.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\nmodel.fit(X, y, epochs=50, batch_size=32)\n<\/code><\/pre>\n
5.6. \ubaa8\ub378 \ud3c9\uac00 \ubc0f \ud14c\uc2a4\ud2b8<\/h3>\n
\n    \ub9c8\uc9c0\ub9c9\uc73c\ub85c, \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0, \uc2e4\uc81c \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc608\uce21\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub2e4. \uac80\uc99d \ub370\uc774\ud130\uc14b\uc5d0 \ub300\ud55c \uc131\ub2a5\uc744 \ud1b5\ud574 \ubaa8\ub378\uc758 \uc77c\ubc18\ud654 \ub2a5\ub825\uc744 \ud3c9\uac00\ud558\ub294 \uac83\uc774 \uc911\uc694\ud558\ub2e4:\n<\/p>\n
y_pred = model.predict(X_test)\naccuracy = (y_pred.round() == y_test).mean()\nprint(f'Accuracy: {accuracy * 100:.2f}%')\n<\/code><\/pre>\n
6. \uacb0\ub860<\/h2>\n
\n    \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc740 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uac15\ub825\ud55c \ub3c4\uad6c\uac00 \ub420 \uc218 \uc788\uc73c\uba70, \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc744 \ud1b5\ud574 \ube44\uc815\ud615 \ub370\uc774\ud130\uc758 \uac00\uce58\ub97c \uadf9\ub300\ud654\ud560 \uc218 \uc788\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uc811\uadfc\ubc95\uc758 \ud544\uc694\uc131\uacfc \ubc29\ubc95\ub860\uc744 \uc18c\uac1c\ud558\uc600\uc73c\uba70, \uc774\ub97c \ud1b5\ud574 \ub3c5\uc790\ub4e4\uc774 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0 \ub300\ud55c \uae4a\uc774 \uc788\ub294 \uc774\ud574\ub97c \uac00\uc9c8 \uc218 \uc788\uae30\ub97c \ubc14\ub780\ub2e4. \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc740 \ub370\uc774\ud130 \ubd84\uc11d \ubc0f \uc608\uce21\uc758 \uc815\ubc00\ub3c4\ub97c \ub192\uc774\uace0, \uad81\uadf9\uc801\uc73c\ub85c \ud22c\uc790 \uc131\uacfc\ub97c \uac1c\uc120\ud558\ub294 \ub370 \uae30\uc5ec\ud560 \uac83\uc774\ub77c \ubbff\ub294\ub2e4.\n<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc790\ub3d9\ud654\uc640 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ucd5c\uadfc \uba87 \ub144\uac04 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc73c\uba70, \uc774\ub294 \ub370\uc774\ud130 \ubd84\uc11d\uc758 \ubc1c\uc804\uacfc \ub354\ubd88\uc5b4 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804 \ub355\ud0dd\uc774\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ubcf8 \uac1c\ub150, \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5\uc758 \ud544\uc694\uc131\uacfc \uadf8 \uc811\uadfc\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc774\ud574 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc740 \ubbf8\ub9ac \uc815\uc758\ub41c \uaddc\uce59\uc774\ub098 \ubaa8\ub378\uc5d0 \ub530\ub77c \uc790\ub3d9\uc73c\ub85c \uc8fc\uc2dd\uc774\ub098 \uc790\uc0b0\uc744 … \ub354 \ubcf4\uae30 “\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5  \ubaa9\uc801\uacfc \uc811\uadfc\ubc95”<\/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-29267","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"\n\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uc7a0\uc7ac \ud1a0\ud53d \ud559\uc2b5 \ubaa9\uc801\uacfc \uc811\uadfc\ubc95 - 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