Build and Interpret an XGBoost Classification Model in Python In this activity, you'll construct and interpret an XGBoost classification model using the XGBoost library in Python.

This project aims to build a machine learning model using XGBoost to detect Parkinson's disease based on various factors. The model is trained on a dataset containing features such as age, sex, and ...