A/B Testing With Machine Learning

Machine learning models used - LogisticRegression - Decision Trees - Xgboost


Files in this project are
notebooks/A-B Testing Machine Learning.ipynb - Contains models running as well as the analysis and code fot the A/B testing notebooks/data.ipynb- contains data spliting code scripts/Create_models.py - contains code for creating models for training, hyperparameter tuning and kfold validation scripts/CreateModelXGBoost-contains code for creating and xgboost model for training, hyperparameter tuning and kfold validation features.csv- for tracking featues in mlfow mlruns-contains run histroy data- contains dvc file pointing to our tracked file