{"id":134,"date":"2024-07-28T06:46:47","date_gmt":"2024-07-28T06:46:47","guid":{"rendered":"https:\/\/corfu-weather.com\/?p=134"},"modified":"2024-07-28T06:47:15","modified_gmt":"2024-07-28T06:47:15","slug":"%ed%8c%8c%ec%9d%b4%ec%8d%ac%ec%9c%bc%eb%a1%9c-%eb%8d%b0%ec%9d%b4%ed%84%b0-%ea%b3%bc%ed%95%99%ec%9d%84-%ec%8b%9c%ec%9e%91%ed%95%98%eb%8a%94-%eb%b0%a9%eb%b2%95","status":"publish","type":"post","link":"https:\/\/corfu-weather.com\/%ed%8c%8c%ec%9d%b4%ec%8d%ac%ec%9c%bc%eb%a1%9c-%eb%8d%b0%ec%9d%b4%ed%84%b0-%ea%b3%bc%ed%95%99%ec%9d%84-%ec%8b%9c%ec%9e%91%ed%95%98%eb%8a%94-%eb%b0%a9%eb%b2%95\/","title":{"rendered":"\ud30c\uc774\uc36c\uc73c\ub85c \ub370\uc774\ud130 \uacfc\ud559\uc744 \uc2dc\uc791\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

\ub370\uc774\ud130 \uacfc\ud559\uc740 \ud604\ub300 \ube44\uc988\ub2c8\uc2a4\uc640 \uc5f0\uad6c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc744 \ud1b5\ud574 \uc6b0\ub9ac\ub294 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc720\uc758\ubbf8\ud55c \uc778\uc0ac\uc774\ud2b8\ub97c \ub3c4\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc740 \ub370\uc774\ud130 \uacfc\ud559\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub85c, \ubc30\uc6b0\uae30 \uc27d\uace0 \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ub3c4\uad6c\ub4e4\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc73c\ub85c \ub370\uc774\ud130 \uacfc\ud559\uc744 \uc2dc\uc791\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e8\uacc4\ubcc4\ub85c \uc548\ub0b4\ud569\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc740 \uac04\uacb0\ud55c \ubb38\ubc95\uacfc \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c \uc778\ud574 \ub370\uc774\ud130 \ubd84\uc11d \uc791\uc5c5\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n

\ub370\uc774\ud130 \uacfc\ud559\uc758 \uae30\ucd08 \uc774\ud574<\/h4>\n\n\n\n

\ub370\uc774\ud130 \uacfc\ud559\uc744 \uc2dc\uc791\ud558\uae30 \uc804\uc5d0, \ub370\uc774\ud130 \uacfc\ud559\uc774 \ubb34\uc5c7\uc778\uc9c0 \uc774\ud574\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc740 \ub370\uc774\ud130\ub97c \uc218\uc9d1, \ucc98\ub9ac, \ubd84\uc11d\ud558\uc5ec \uc720\uc6a9\ud55c \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\ub294 \ub370\uc774\ud130 \uc804\ucc98\ub9ac, \ub370\uc774\ud130 \uc2dc\uac01\ud654, \ud1b5\uacc4 \ubd84\uc11d, \uba38\uc2e0 \ub7ec\ub2dd \ub4f1\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc740 \uc11c\ub85c \uc720\uae30\uc801\uc73c\ub85c \uc5f0\uacb0\ub418\uc5b4 \uc788\uc5b4, \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uac70\ub098 \uc608\uce21 \ubaa8\ub378\uc744 \ub9cc\ub4dc\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc790\ub294 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uac00\uce58 \uc788\ub294 \uc778\uc0ac\uc774\ud2b8\ub97c \ub3c4\ucd9c\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \ube44\uc988\ub2c8\uc2a4 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uac70\ub098 \uc5f0\uad6c \uacfc\uc81c\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n

\ud30c\uc774\uc36c \uc124\uce58 \ubc0f \ud658\uacbd \uc124\uc815<\/h4>\n\n\n\n

\ud30c\uc774\uc36c\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uacfc\ud559\uc744 \uc2dc\uc791\ud558\ub824\uba74 \uba3c\uc800 \ud30c\uc774\uc36c\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc740 \ub2e4\uc591\ud55c \uc6b4\uc601\uccb4\uc81c\uc5d0\uc11c \uc124\uce58\ud560 \uc218 \uc788\uc73c\uba70, \ucd5c\uc2e0 \ubc84\uc804\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ud30c\uc774\uc36c \uc124\uce58 \ubc0f \ud658\uacbd \uc124\uc815 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uba3c\uc800, \ud30c\uc774\uc36c \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \ucd5c\uc2e0 \ubc84\uc804\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc5ec \uc124\uce58\ud569\ub2c8\ub2e4. \uc124\uce58 \uacfc\uc815\uc740 \ube44\uad50\uc801 \uac04\ub2e8\ud558\uba70, \uc6b4\uc601\uccb4\uc81c\uc5d0 \ub530\ub77c \uba87 \uac00\uc9c0 \ud074\ub9ad\ub9cc\uc73c\ub85c \uc644\ub8cc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n

    \n
  1. \ud30c\uc774\uc36c \ub2e4\uc6b4\ub85c\ub4dc \ubc0f \uc124\uce58<\/strong>: \ud30c\uc774\uc36c \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8\uc5d0\uc11c \ud30c\uc774\uc36c \ucd5c\uc2e0 \ubc84\uc804\uc744 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uace0 \uc124\uce58\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n
  2. IDE \uc120\ud0dd<\/strong>: \ub370\uc774\ud130 \uacfc\ud559 \uc791\uc5c5\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud558\ub824\uba74 \uc88b\uc740 \ud1b5\ud569 \uac1c\ubc1c \ud658\uacbd(IDE)\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 IDE\ub85c\ub294 PyCharm, Jupyter Notebook, VS Code \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub4e4 IDE\ub294 \ucf54\ub4dc \uc791\uc131, \uc2e4\ud589, \ub514\ubc84\uae45 \ub4f1\uc744 \uc27d\uac8c \ud560 \uc218 \uc788\uac8c \ub3c4\uc640\uc90d\ub2c8\ub2e4.<\/li>\n\n\n\n
  3. \ud544\uc218 \ub77c\uc774\ube0c\ub7ec\ub9ac \uc124\uce58<\/strong>: \ub370\uc774\ud130 \uacfc\ud559\uc5d0 \ud544\uc694\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc124\uce58\ud569\ub2c8\ub2e4. \ub300\ud45c\uc801\uc778 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c\ub294 NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \ub370\uc774\ud130 \uc870\uc791, \uc2dc\uac01\ud654, \ubd84\uc11d \ub4f1\uc758 \uc791\uc5c5\uc744 \uc9c0\uc6d0\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uba85\ub839\uc5b4\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
    python pip install numpy pandas matplotlib seaborn scikit-learn<\/code><\/li>\n<\/ol>\n\n\n\n

    \ub370\uc774\ud130 \uc804\ucc98\ub9ac \ubc0f \ud0d0\uc0c9<\/h4>\n\n\n\n

    \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \ub370\uc774\ud130 \ubd84\uc11d\uc758 \uc911\uc694\ud55c \ub2e8\uacc4\uc785\ub2c8\ub2e4. \ub370\uc774\ud130\ub294 \uc885\uc885 \uacb0\uce21\uce58, \uc911\ubcf5 \ub370\uc774\ud130, \uc774\uc0c1\uce58 \ub4f1\uc744 \ud3ec\ud568\ud558\uace0 \uc788\uae30 \ub54c\ubb38\uc5d0 \uc774\ub97c \ucc98\ub9ac\ud558\uc5ec \ubd84\uc11d\uc5d0 \uc801\ud569\ud55c \ud615\ud0dc\ub85c \ub9cc\ub4dc\ub294 \uac83\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac\ub294 \ubd84\uc11d\uc758 \uc815\ud655\uc131\uacfc \uc2e0\ub8b0\uc131\uc744 \ub192\uc774\uae30 \uc704\ud55c \ud544\uc218 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n

      \n
    1. \ub370\uc774\ud130 \ub85c\ub4dc<\/strong>: \ub370\uc774\ud130 \ud30c\uc77c\uc5d0\uc11c \ub370\uc774\ud130\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4. CSV \ud30c\uc77c\uc744 \uc608\ub85c \ub4e4\uc5b4 Pandas \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \ub85c\ub4dc\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. import pandas as pd data = pd.read_csv('data.csv')<\/code><\/li>\n\n\n\n
    2. \ub370\uc774\ud130 \ud0d0\uc0c9<\/strong>: \ub370\uc774\ud130\uc758 \uad6c\uc870\ub97c \uc774\ud574\ud558\uace0, \uac01 \ubcc0\uc218\uc758 \ubd84\ud3ec\uc640 \uad00\uacc4\ub97c \ud30c\uc545\ud569\ub2c8\ub2e4. \uc774\ub294 \ub370\uc774\ud130\uc758 \uae30\ubcf8 \ud2b9\uc131\uc744 \uc774\ud574\ud558\ub294 \ub370 \uc911\uc694\ud55c \ub2e8\uacc4\uc785\ub2c8\ub2e4.
      python print(data.head()) print(data.info()) print(data.describe())<\/code><\/li>\n\n\n\n
    3. \uacb0\uce21\uce58 \ucc98\ub9ac<\/strong>: \uacb0\uce21\uce58\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc5d0\ub294 \uc0ad\uc81c, \ub300\uccb4 \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uacb0\uce21\uce58\ub294 \ubd84\uc11d \uacb0\uacfc\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce60 \uc218 \uc788\uc73c\ubbc0\ub85c \uc801\uc808\ud788 \ucc98\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4.
      python data = data.dropna() # \uacb0\uce21\uce58\uac00 \uc788\ub294 \ud589 \uc0ad\uc81c data = data.fillna(data.mean()) # \uacb0\uce21\uce58\ub97c \ud3c9\uade0\uac12\uc73c\ub85c \ub300\uccb4<\/code><\/li>\n\n\n\n
    4. \ub370\uc774\ud130 \ubcc0\ud658<\/strong>: \ud544\uc694\uc5d0 \ub530\ub77c \ub370\uc774\ud130 \ubcc0\ud658\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ubc94\uc8fc\ud615 \ub370\uc774\ud130\ub97c \uc22b\uc790\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.
      python data['category'] = data['category'].astype('category').cat.codes<\/code><\/li>\n<\/ol>\n\n\n\n

      \ub370\uc774\ud130 \uc2dc\uac01\ud654<\/h4>\n\n\n\n

      \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub294 \ub370\uc774\ud130\ub97c \uc774\ud574\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc5d0\uc11c\ub294 Matplotlib\uc640 Seaborn\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \uc2dc\uac01\ud654\ub97c \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2dc\uac01\ud654\ub97c \ud1b5\ud574 \ub370\uc774\ud130\uc758 \ud328\ud134\uacfc \ud2b8\ub80c\ub4dc\ub97c \uc27d\uac8c \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n

        \n
      1. \uae30\ubcf8\uc801\uc778 \uadf8\ub798\ud504 \uadf8\ub9ac\uae30<\/strong>: Matplotlib\ub97c \uc0ac\uc6a9\ud558\uc5ec \uae30\ubcf8\uc801\uc778 \uadf8\ub798\ud504\ub97c \uadf8\ub9bd\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uadf8\ub824 \ub370\uc774\ud130\uc758 \ubd84\ud3ec\ub97c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. import matplotlib.pyplot as plt data['column'].hist() plt.show()<\/code><\/li>\n\n\n\n
      2. Seaborn\uc744 \uc0ac\uc6a9\ud55c \uace0\uae09 \uc2dc\uac01\ud654<\/strong>: Seaborn\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub354 \uace0\uae09\uc2a4\ub7ec\uc6b4 \uc2dc\uac01\ud654\ub97c \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Seaborn\uc740 Matplotlib\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uba70, \ub354 \uc138\ub828\ub41c \uadf8\ub798\ud504\uc640 \ub2e4\uc591\ud55c \uc2dc\uac01\ud654 \uc635\uc158\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. import seaborn as sns sns.boxplot(x='category', y='value', data=data) plt.show()<\/code><\/li>\n<\/ol>\n\n\n\n

        \ud1b5\uacc4 \ubd84\uc11d<\/h4>\n\n\n\n

        \ud1b5\uacc4 \ubd84\uc11d\uc740 \ub370\uc774\ud130 \uacfc\ud559\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud55c \ubd80\ubd84\uc785\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc5d0\uc11c\ub294 SciPy\uc640 StatsModels\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \ud1b5\uacc4 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud1b5\uacc4 \ubd84\uc11d\uc744 \ud1b5\ud574 \ub370\uc774\ud130\uc758 \uae30\ubcf8 \ud2b9\uc131\uacfc \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n

          \n
        1. \uae30\ubcf8\uc801\uc778 \ud1b5\uacc4 \ubd84\uc11d<\/strong>: \uae30\ucd08 \ud1b5\uacc4\ub7c9\uc744 \uacc4\uc0b0\ud558\uc5ec \ub370\uc774\ud130\uc758 \uc911\uc2ec \uacbd\ud5a5\uacfc \ubd84\uc0b0\uc744 \ud30c\uc545\ud569\ub2c8\ub2e4.
          python mean = data['column'].mean() median = data['column'].median() std_dev = data['column'].std()<\/code><\/li>\n\n\n\n
        2. \uc0c1\uad00 \ubd84\uc11d<\/strong>: \ubcc0\uc218 \uac04\uc758 \uc0c1\uad00\uad00\uacc4\ub97c \ubd84\uc11d\ud569\ub2c8\ub2e4. \uc0c1\uad00\uad00\uacc4\ub294 \ub450 \ubcc0\uc218 \uac04\uc758 \uad00\uacc4\ub97c \ub098\ud0c0\ub0b4\uba70, \uc774\ub97c \ud1b5\ud574 \ubcc0\uc218 \uac04\uc758 \uc5f0\uad00\uc131\uc744 \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.
          python correlation = data.corr() print(correlation)<\/code><\/li>\n<\/ol>\n\n\n\n

          \uba38\uc2e0 \ub7ec\ub2dd<\/h4>\n\n\n\n

          \uba38\uc2e0 \ub7ec\ub2dd\uc740 \ub370\uc774\ud130 \uacfc\ud559\uc758 \ud575\uc2ec \ubd80\ubd84 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. Scikit-learn \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \uba38\uc2e0 \ub7ec\ub2dd \ubaa8\ub378\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0 \ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc608\uce21 \ubaa8\ub378\uc744 \ub9cc\ub4e4\uace0, \uc774\ub97c \ud1b5\ud574 \ubbf8\ub798\uc758 \uac12\uc744 \uc608\uce21\ud558\uac70\ub098 \ubd84\ub958 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n

            \n
          1. \ub370\uc774\ud130 \ubd84\ud560<\/strong>: \ub370\uc774\ud130\ub97c \ud559\uc2b5 \ub370\uc774\ud130\uc640 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub85c \ubd84\ud560\ud569\ub2c8\ub2e4. \uc774\ub807\uac8c \ubd84\ud560\ub41c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0a4\uace0 \ud3c9\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. from sklearn.model_selection import train_test_split X = data.drop('target', axis=1) y = data['target'] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)<\/code><\/li>\n\n\n\n
          2. \ubaa8\ub378 \ud559\uc2b5<\/strong>: \ub2e4\uc591\ud55c \uba38\uc2e0 \ub7ec\ub2dd \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \ud559\uc2b5\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. from sklearn.linear_model import LinearRegression model = LinearRegression() model.fit(X_train, y_train)<\/code><\/li>\n\n\n\n
          3. \ubaa8\ub378 \ud3c9\uac00<\/strong>: \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \ud3c9\uac00\ub97c \ud1b5\ud574 \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud655\uc778\ud558\uace0, \ud544\uc694\ud55c \uacbd\uc6b0 \ubaa8\ub378\uc744 \uac1c\uc120\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. from sklearn.metrics import mean_squared_error predictions = model.predict(X_test) mse = mean_squared_error(y_test, predictions) print(f'Mean Squared Error: {mse}')<\/code><\/li>\n<\/ol>\n\n\n\n

            \uacb0\ub860<\/h4>\n\n\n\n

            \ud30c\uc774\uc36c\uc740 \ub370\uc774\ud130 \uacfc\ud559\uc5d0 \ub9e4\uc6b0 \uc720\uc6a9\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \ub370\uc774\ud130 \uc804\ucc98\ub9ac, \uc2dc\uac01\ud654, \ud1b5\uacc4 \ubd84\uc11d, \uba38\uc2e0 \ub7ec\ub2dd \ub4f1 \ub2e4\uc591\ud55c \uc791\uc5c5\uc744 \ud30c\uc774\uc36c\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c \uc124\uba85\ud55c \ub2e8\uacc4\ub97c \ub530\ub77c\uac00\uba74\uc11c \uc2e4\uc2b5\uc744 \ud1b5\ud574 \ud30c\uc774\uc36c \ub370\uc774\ud130 \uacfc\ud559\uc758 \uae30\ucd08\ub97c \ub2e4\uc838\ubcf4\uc138\uc694. \ud30c\uc774\uc36c\uc758 \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ub3c4\uad6c\ub4e4\uc740 \ub370\uc774\ud130 \uacfc\ud559 \uc791\uc5c5\uc744 \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc774\uace0 \ud6a8\uacfc\uc801\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uac8c \ud574\uc90d\ub2c8\ub2e4. \uc9c0\uc18d\uc801\uc778 \ud559\uc2b5\uacfc \uc2e4\uc2b5\uc744 \ud1b5\ud574 \ub370\uc774\ud130 \uacfc\ud559\uc758 \uc804\ubb38\uac00\ub85c \uc131\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n

            \"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

            \ub370\uc774\ud130 \uacfc\ud559\uc740 \ud604\ub300 \ube44\uc988\ub2c8\uc2a4\uc640 \uc5f0\uad6c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc744 \ud1b5\ud574 \uc6b0\ub9ac\ub294 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc720\uc758\ubbf8\ud55c \uc778\uc0ac\uc774\ud2b8\ub97c \ub3c4\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc740 \ub370\uc774\ud130 \uacfc\ud559\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub85c, \ubc30\uc6b0\uae30 \uc27d\uace0 \uac15\ub825\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 \ub3c4\uad6c\ub4e4\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud30c\uc774\uc36c\uc73c\ub85c \ub370\uc774\ud130 \uacfc\ud559\uc744 \uc2dc\uc791\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \ub2e8\uacc4\ubcc4\ub85c \uc548\ub0b4\ud569\ub2c8\ub2e4. \ud30c\uc774\uc36c\uc740 \uac04\uacb0\ud55c \ubb38\ubc95\uacfc \ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c \uc778\ud574 \ub370\uc774\ud130 \ubd84\uc11d \uc791\uc5c5\uc744 \ud6a8\uc728\uc801\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. … Read more<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rank_math_lock_modified_date":false,"footnotes":""},"categories":[3],"tags":[28,27,25,30,26,21,22,24,23,10],"class_list":["post-134","post","type-post","status-publish","format-standard","hentry","category-blog","tag-matplotlib","tag-numpy","tag-pandas","tag-seaborn","tag-26","tag-21","tag-22","tag-24","tag-23","tag-10"],"_links":{"self":[{"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/posts\/134","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/comments?post=134"}],"version-history":[{"count":1,"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/posts\/134\/revisions"}],"predecessor-version":[{"id":137,"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/posts\/134\/revisions\/137"}],"wp:attachment":[{"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/media?parent=134"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/categories?post=134"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/corfu-weather.com\/wp-json\/wp\/v2\/tags?post=134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}