🚀 Project 1: Customer Churn Prediction

📝 Mission

-To predict customer churn using structured data, giving businesses the tools they need to reduce attrition and increase retention.

⚡ Highlights

Data Mastery:

-Cleaned and prepared the dataset for optimal performance. -Encoded categorical features and handled missing data with finesse.

Feature Engineering:

-Identified key predictors of churn for better insights. -Balanced the dataset to ensure fairness.

Model Magic:

-Explored and compared multiple algorithms (Logistic Regression, Decision Trees, XGBoost). -XGBoost emerged victorious with X% accuracy!

Insights:

-Visualized key metrics using precision, recall, F1-score, and confusion matrix.