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  <author_name>hideoyaji</author_name>
  <author_url>https://blog.hatena.ne.jp/hideoyaji/</author_url>
  <blog_title>戦コンからDSへの転身なるか？</blog_title>
  <blog_url>https://hideoyaji.hatenablog.com/</blog_url>
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  <description>環境 Jupyter Lab / Local 今日やったこと Day4で'IsInfant'と特徴量として加えることで上位26.4%に入ったのに気を良くして、'SibSp'と'Parch'を加算した'FamilySize'を生成。Survivedの平均値を算出。 for dataset in combine: dataset['FamilySize'] = dataset['SibSp'] + dataset['Parch'] train_df_drpd[['FamilySize', 'Survived']].groupby(['FamilySize'], as_index=False).me…</description>
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  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2023-02-26 17:43:23</published>
  <title>Kaggle / Titanic - Machine Learning from Disaster / 独学 / とりあえず自分でやってみる Day5</title>
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  <url>https://hideoyaji.hatenablog.com/entry/2023/02/26/174323</url>
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