Churn Prediction ML documentation

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Contents:

• Data Files
• Jupyter Notebooks
• Module Reference
  • balance_data()
  • evaluate_model()
  • load_data()
  • mlflow_load_predict()
  • mlflow_log_model_run()
  • plot_confusion_roc()
  • plot_correlation()
  • preprocess_data()
  • scale_data()
  • show_data_summary()
  • train_xgboost_classifier()

Welcome to the documentation of the Churn Prediction ML project!

Project Overview

This project predicts customer churn using ML algorithms. Main components:

• Source code (src/)

• Data files and notebooks