Customer Churn Prediction (Classification) ​Objective: Developed a predictive machine learning mo...Customer Churn Prediction (Classification) ​Objective: Developed a predictive machine learning mo...
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Aditya Kumar
• Jun 18
Customer Churn Prediction (Classification)
​Objective: Developed a predictive machine learning model to analyze telecom customer behavior and identify users at high risk of canceling services (churning).
​Modeling & Evaluation: Implemented a Random Forest Classifier to evaluate metrics like customer tenure and monthly charges, evaluating results through a structured Confusion Matrix.
​Impact: Provides actionable insights that help businesses proactively implement retention strategies for at-risk accounts.
​Tech Stack: Python, Pandas, Scikit-Learn (Random Forest), Matplotlib.
Data AnalysisMatplotlibpandasPython
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