Customer Churn Analysis

I completed a Customer Churn Analysis project where I cleaned and explored customer data, built insightful visualizations, and applied machine learning models to predict churn. The project included handling missing values, detecting outliers, performing EDA with charts (histograms, scatter plots, churn distribution), and building predictive models like Logistic Regression and Random Forest. I achieved strong accuracy and provided actionable insights to help businesses understand why customers leave and how to improve retention.