Customer Churn Prediction

Customer Churn Prediction

Developed a machine learning model to predict customer churn and identify the factors leading to customer attrition. The project workflow included data cleaning and preprocessing, exploratory data analysis (EDA) to understand patterns in customer behavior, feature engineering, and building classification models with cross-validation and hyperparameter tuning. The final model helps businesses proactively identify at-risk customers and implement strategies to improve retention.

Tools & Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn