mani44r/Customer-Churn-Prediction-ML — reverse-engineered prompt

Build me a simple customer churn prediction machine learning project using the data already in this repo. I want to understand which customers are likely to leave, not just get a model number. Please load the dataset, clean missing or messy values, do some basic churn analysis with clear charts, train a few sensible models, compare them with easy to understand metrics, and pick the best one.

Please also show the most important reasons a customer is predicted to churn, so a business user can understand what to act on. Save the trained model and include a small example script or simple interface where I can put in one customer’s details and get a churn risk prediction.

Keep the code organized and add clear comments and a short README update explaining how to install requirements, run the analysis, train the model, and make a prediction. Look up current docs online if needed.