There is explanation of data done with Automatic Exploratory Data Analysis.

There is explanation of ML models and predictions:

- learning curves from training

- decision tree visualization

- linear model coeffs printout

- features importance (permutation based)

- SHAP features importance

- SHAP dependence plots

- SHAP decision plots