Predict Student Performance Using Python & Machine Learning | Linear Regression Tutorial

Want to predict a student's marks based on how much they studied, their previous scores, and attendance? In this beginner-friendly tutorial, we use Linear Regression from scikit-learn to build a simple but powerful machine learning model. 🔍 What you'll learn in this video: How to prepare input features for regression Training a model using LinearRegression from sklearn Making predictions with new data Handling user input with basic error checking 🧠 Input Features: Hours Studied Previous Score Attendance Percentage 📌 Whether you're new to Python or brushing up on ML basics, this video is a great hands-on example to help you learn by doing. 👉 Try it yourself, modify the dataset, and see how predictions change! 👍 Don't forget to like, comment, and subscribe for more real-world coding tutorials. #MachineLearning #Python #LinearRegression #scikitLearn #StudentMarksPrediction #DataScienceForBeginners