How to Make Sample Datasets Using Python Faker Library | Step-by-Step Guide

In this video, I will show you how to generate realistic sample datasets using the Faker library in Python. Faker is a powerful library that helps create synthetic data, which is useful for testing, data analysis, and machine learning projects.

What You’ll Learn:
✅ Introduction to the Faker library
✅ How to install and use Faker in Python
✅ Generating fake names, addresses, emails, phone numbers, and more
✅ Creating structured datasets with Pandas & Faker
✅ Exporting generated data to CSV or Excel

This tutorial is perfect for data scientists, analysts, and developers who need realistic sample data for testing and analysis.

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