14. SVM Regression Explained

In this video, we dive deep into SVM Regression (Support Vector Machine Regression), a powerful machine learning technique used for predicting continuous values. We cover everything you need to understand about SVM for regression, including:

What is SVM Regression?
How SVM differs from other regression methods like Linear Regression
Key concepts: Hyperplane, Support Vectors, Margin, and Epsilon
The kernel trick and how it helps to handle non-linear data
Step-by-step explanation of how SVM Regression works
Practical example and implementation in Python using the scikit-learn library
Tips for tuning hyperparameters like C, epsilon, and kernel for better performance
Whether you're a beginner or an intermediate machine learning enthusiast, this video will help you build a solid understanding of how SVM Regression works and how to implement it effectively.

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Resources:

Python Code for SVM Regression
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