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Data Preparation For Machine Learning Collection

Code snippets for preparing data for machine learning

SCALING

Scale Data Using Standard Scaler in Sklearn

SPLITTING DATA

Tensorflow - Splitting Record Files Into Train & Validation Sets

Sklearn Stratified K-Fold - Splitting Data & Saving to File

Train-Test Splitting with Stratification using Scikit-Learn

SAMPLING

Pandas Undersampling for Imbalanced Binary Classification

FEATURES

Create Dummy Variables with Pandas

Using Sklearn RFE to Select Features