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Python 3
Dataset Download and Environment Setup

Dataset Download and Environment Setup

Lesson 1: Dataset Download and Environment Setup

Lesson 1: Dataset Download and Environment Setup

Before starting the implementation, the dataset must be prepared inside Google Colab. In this project, we use the Kaggle dataset: Telco Customer Churn
( https://www.kaggle.com/datasets/blastchar/telco-customer-churn/data )

This dataset contains customer demographics, subscription details, service usage information, billing data, and churn status. Since Kaggle provides the dataset in ZIP format, it must be extracted inside Colab before it can be accessed by Python.

If this step is skipped, the CSV file will not be available for loading and the project cannot proceed.

Code:

!unzip '/content/archive (3).zip'

After executing this command, the dataset files are extracted into the /content/ directory and are ready to be loaded into a Pandas DataFrame.

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Dataset Download and Environment Setup

Contents

Lesson 1: Dataset Download and Environment Setup

Customer Churn Prediction Project Using Classification Techniques

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