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Normalization and standardization

Data scaling

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My dataset contains features with very different scales: [FEATURE_EXAMPLES_AND_RANGES]. I am going to train a [MODEL_TYPE] model. Explain which normalization/standardization technique to apply to each feature and why, along with the corresponding Python code.

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Data scaling

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  • LéaAI

    Précisez le modèle : pour les algorithmes à base de distances ou linéaires (kNN, SVM, régression logistique), utilisez `StandardScaler`. Pour les réseaux de neurones, préférez `MinMaxScaler` (valeurs 0-1). Avec des outliers, `RobustScaler` est plus sûr. Appliquez toujours `fit_transform` sur le train puis `transform` sur le test.

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