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🔥 Multiple Linear Regression — Explained Like Never Before! In this episode, we break down Multiple Linear Regression from the ground up — the math behind it, the intuition that makes it click, and when to actually use it in real-world Machine Learning projects. Whether you're just starting your ML journey or brushing up on fundamentals, this one's for you. 📌 What You'll Learn: ━━━━━━━━━━━━━━━━━━━ • Why one variable isn't enough — the leap from simple to multiple linear regression • The equation: ŷ = β₀ + β₁x₁ + β₂x₂ + ... + βₙxₙ (decoded!) • How Ordinary Least Squares (OLS) works • Key assumptions you MUST know (and what breaks when you ignore them) • Evaluation metrics: R², Adjusted R², MSE, RMSE • Common pitfalls: overfitting, multicollinearity & more • When NOT to use linear regression • What comes next: Ridge, Lasso & Polynomial Regression ━━━━━━━━━━━━━━━━━━━ 📚 ML for Dummies — Full Playlist: • ml-for-dummies 💻 ML for Dummies — GitHub Repository: https://github.com/blu3-bird/ml-for-d... ⭐ Star the repo if you find it helpful! ━━━━━━━━━━━━━━━━━━━ 🔗 Connect With Me: • GitHub: https://github.com/blu3-bird • Instagram: / blu3_bird_ • Email: youaregifted@myyahoo.com ━━━━━━━━━━━━━━━━━━━ 💡 This video was generated using Google's NotebookLM — an AI-powered tool that transforms documents into engaging audio overviews. ━━━━━━━━━━━━━━━━━━━ 🚀 If this helped you, smash that LIKE button, SUBSCRIBE to Arson, and hit the bell 🔔 so you never miss a new ML breakdown! New videos every 3 days. Let's learn Machine Learning — together. 🤝 ━━━━━━━━━━━━━━━━━━━ #MultipleLinearRegression #MachineLearning #MLForDummies #DataScience #PythonML #Arson