New 1 - Data Science
3198 ワード
1. QQ-plot(Quantile Quantile plot)
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(완전한 정규분포를 이룰 때)
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(skewed가 있을 떄)
2. Pandas.DataFrame.apply()
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3. Pandas.DataFrame.transform()
4.apply()とtransform()の違い
(写真の出所:https://towardsdatascience.com/difference-between-apply-and-transform-in-pandas-242e5cf32705)
1. transform() work with function, a string function, a list of functions, and a dict. However, apply() is only allowed with function.
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2. transform() cannot produce aggregated results.
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3. apply() works with multiple Series at a time. But, transform() is only allowed to work with a single Series at a time.
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5. Pandas.DataFrame.astype()
6. Sklearn.pipeline()
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7. cross_val_score()
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8. Key differences GBM vs XGBOOST
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Guide for XGBoost
9. BaseEstimator, RegressorMixin, TransformerMixin
1. BaseEstimator
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2. TransformerMixin
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3. RegressorMixin
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あるKaggle Notebookで次のようなクラスが見られました.
複数のモデルを一度に学習し、予測平均値を返す機能があるようです.
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このレベルもあります.
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このように,平均modelsはrmsle cvという関数に入りcross val score()の推定因子として伝達される.
Reference
この問題について(New 1 - Data Science), 我々は、より多くの情報をここで見つけました https://velog.io/@aspalt85/New-1-Data-Scienceテキストは自由に共有またはコピーできます。ただし、このドキュメントのURLは参考URLとして残しておいてください。
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