An ML project that deals with Extensive EDA, Model Training with Hyperparameter tuning and Cross-Validation.
- Notebook containing project implementation.
- Report that elaborates on whole project.
- Original dataset used for this project.
- Imputed Data folder contains the pre-processed data.
- numpy
- pandas
- matplotlib
- seaborn
- scikit-learn
- datawig
- lightgbm
- fancyimpute
Hope this project helps you learning the conceps we mentioned above. Thank you for following out.