The Best Regression Techniques For ML Beginners

In this video, we explore essential regression techniques for machine learning beginner (ML). Regression is a fundamental concept in ML used for predicting continuous values, such as house prices, stock trends, and more. We'll break down common regression methods including Linear Regression, Polynomial Regression, Ridge and Lasso Regression, Decision Tree Regression, Random Forest Regression, and Support Vector Regression (SVR). You'll learn when and how to use each technique, and how to apply them to real-world prediction problems. Whether you're just starting your ML journey or looking to solidify your understanding, this video is packed with useful insights!

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