Multiple Linear Regression Explained | ML | Regression | Supervised Machine Learning | AI

🔍 What’s Multiple Linear Regression? Imagine you’re trying to predict the price of a house 🏠 based on its size, location, and the number of rooms. 📊 Multiple Linear Regression helps you find the relationship between these factors and the price. Here’s how it works: 1️⃣ It uses a formula: 𝑌= b0 + b1x1 + b2x2 +......+ϵ Y: The outcome (e.g., house price) X₁, X₂, ...: Factors (size, location, etc.) b₁, b₂: Coefficients showing how much each factor affects Y. 2️⃣ It fits a line (or a plane in 3D) that minimizes the prediction errors. ✨ Applications? Sales forecasting, stock market analysis, healthcare studies, and more! 🚀 Want to learn how to use this for your projects? Let’s explore it together!