Case Study

Customer Churn Prediction

Business Overview

Created a Machine Learning model to predict Customer Churn.

Target

Identify which cusotmers are going to leave or withdraw.

My Approach & Tools Used

Used Data Cleaning, Feature Engineering and Data Visualisation for EDA and trained ML Model using Logistic Regression.

Results

Predicted Customer Churn with 82.5% accuracy

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