Case Study

Customer Churn Prediction

Overview

Created a Machine Learning model to predict Customer Churn.

Target

Identify which cusotmers are going to leave or withdraw.

My Approach

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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