The following documents were included in this repository:
- Final Report (Capstone Project CausaLens - Ana POtje.pdf & Appendix)
- Jupyter notebooks (cancer regression and SHAP calculations)
- Tips for SCORE metrics, linear regression, random forest regression, train/test/split
- Tips for Standardizations, Cross Validation, Removing ouitliers, Scaling the data, Pairplot and SHAP
Python Notebooks containing TIME SERIES modelling examples Includes 2 Jupyter notebooks
- Basics for dealing with time, timestamps, moving windows
- Modelling a Time Series Machine Leaning problem