Ep 17: Support Vector Machine (SVM) Algorithm Explained with Python
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In this episode, we explore Support Vector Machine (SVM) — one of the most powerful machine learning classification algorithms. You’ll learn the intuition behind SVM, how it works, and how to implement it in Python for real-world datasets.
What you’ll learn in Ep 17:
What is a Support Vector Machine?
How SVM separates classes using decision boundaries
Understanding margin and support vectors
SVM with linear and non-linear kernels
Implementing SVM in Python using Scikit-Learn
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