How to Push a Data Analysis Project to GitHub (2026) | Customer Satisfaction ML Project | Easy

In this video, you’ll learn how to push a Data Analysis and Machine Learning project into GitHub in 2026 using a Customer Satisfaction dataset, explained in a simple and easy way.

This tutorial covers:
Preparing a data analysis project for GitHub
Organizing Customer Satisfaction data files
Creating a GitHub repository
Using basic Git commands (init, add, commit, push)
Uploading a Machine Learning project step-by-step
Writing a clean README.md for your project
Best practices to showcase your GitHub portfolio
This video is ideal for:
Beginners in Data Analysis
Machine Learning students
Python learners
GitHub beginners
Anyone building a data science portfolio
After watching, you’ll be able to confidently upload your real-world ML projects to GitHub and improve your professional profile.

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