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machine-learning's Introduction

Machine-learning

Pythonによるデータサイエンス&機械学習

  1. Pythonでグラフ
  2. データ種類・基礎統計量
  3. 確率分布・区間推定
  4. 仮説検査
  5. 回帰分析
  6. 重回帰分析
  7. 主成分分析
  8. 判別解析
  9. クラスター分析
  10. K近傍法
  11. ニューラルネットワーク・決定木
  12. 集団学習
  13. kaggle
  14. 機械学習モデルの改善
  15. 最終レポート

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