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Introduction

Module 1 (Introduction)

In this handbook, we walk through the complete implementation of a Customer Churn Prediction project using Python in Google Colab.

The project focuses on analyzing telecom customer data to identify patterns that lead to customer churn and building a machine learning model to predict which customers are likely to leave the service.

Before diving into preprocessing, modeling, and deployment, this module introduces the core concepts behind Data Science, explains how it applies to churn prediction, and outlines the purpose and scope of the project. The goal is to help beginners understand not just how the model is built, but why each step is important in solving a real-world business problem.