SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

A comparison between Statistical, Machine Learning, PCA, SVD, and REF methods

A logistic regression model to predict users who can churn given their demographics, services availed and expenses.

Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.

This notebook illustrates feature selection reverting many of the selection method results into pandas dataframes so that you get the appropriate column headings.