• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Jupyter Notebook
  • Created about 6 years ago
  • Updated about 6 years ago

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Repository Details

A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sense. (Python)