Build a Customer Churn Prediction Model in Python (Portfolio Project)

Rishav Kumar — Sat, 10 Oct 2026 07:02:33 +0000

Predicting customer churn is one of the most requested skills in Data Science interviews right now. In this tutorial, I'll walk you through how to build a complete Churn Prediction Model from scratch using Python, Pandas, and Scikit-Learn.

If you prefer a step-by-step visual walkthrough where I code this live, check out my full YouTube tutorial below:

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🛠️ What We Are Building

We are building a binary classification model. Using a dataset of customer demographics, account information, and service usage, our model will predict whether a specific customer is likely to cancel their subscription (churn) or stay. This is a real-world problem businesses face daily to improve customer retention.

1. Prerequisites & Setup

First, ensure you have your environment set up. I recommend using Jupyter Notebook or VS Code.

Install the required libraries in your terminal:


bash
pip install pandas numpy scikit-learn matplotlib seaborn

DEV Community: Rishav Kumar

Build a Customer Churn Prediction Model in Python (Portfolio Project)

🛠️ What We Are Building

1. Prerequisites & Setup