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

> Source: <https://dev.to/i_rishavv/build-a-customer-churn-prediction-model-in-python-portfolio-project-4kmo>
> Published: 2026-10-10 07:02:33+00:00

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:

*(If you find the video helpful, consider subscribing to [EkamOfficial](https://www.youtube.com/@EkamOfficial-YT) for weekly ML and Python projects!)*

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.

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
```