Linear Regression Explained with Student Marks Prediction | Python Machine Learning for Beginners

Welcome to this exclusive hands-on coding session on Student Marks Prediction using Linear Regression with Python 🚀

In this video, we start by understanding why predicting student marks is important, then clearly explain Linear Regression from scratch, and finally build a complete working mini project using Python.

This video is specially designed for absolute beginners who want to enter the world of Machine Learning and Data Science without fear.

🔍 What you will learn in this video:

✅ What is Linear Regression (in simple terms)
✅ How machines learn patterns from data
✅ Understanding dataset, features & target
✅ Visualizing data using graphs
✅ Building a Linear Regression model in Python
✅ Predicting student marks step-by-step
✅ Real-world applications of Linear Regression

🎓 Who should watch this video?
✔ Engineering & Degree students
✔ Python beginners
✔ Data Science aspirants
✔ Machine Learning beginners
✔ Anyone afraid of ML formulas 😄

💻 Tools Used:

Python

NumPy

Pandas

Matplotlib

Scikit-learn

📢 IMPORTANT REMINDER
This video is part of our LIVE FREE EXCLUSIVE HANDS-ON CODING SESSION with Live Q&A & Doubt Clearing.
Don’t miss the live session – details shared in the video!

👍 If this video helps you, please LIKE, SHARE, and SUBSCRIBE for more beginner-friendly tech content.

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