This project predicts customer churn for a telecom company by analyzing user contracts, personal data, and service usage. It uses pandas for data manipulation and scikit-learn for model building, applying Logistic Regression, Decision Trees, and Gradient Boosting. The aim is to enable proactive customer retention supporting business decisions
project-structure tools-techniques project-objective results-outcomes what-i-have-learned insights-learnings
-
Updated
Oct 5, 2024 - Jupyter Notebook