Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

This project focuses on predicting customer purchase behavior using machine learning models, with an emphasis on feature importance.

To predict patients with breast cancer using classification models such as random forest, support vector machine, and stacking ensemble method