Support Vector Machine (SVM) Explained with Examples | Machine Learning Lecture
Автор: deepak singla
Загружено: 2025-08-08
Просмотров: 62
In this lecture, we dive deep into Support Vector Machines (SVM) — one of the most powerful and widely used algorithms in Machine Learning.
We cover:
The core concept of SVM and its intuition
Understanding hyperplanes, margins, and support vectors
Linear vs. Non-linear classification
Role of kernel functions (Linear, Polynomial, RBF)
Real-life examples and practical implementation in Python
By the end of this session, you’ll clearly understand how SVM works and when to use it for classification tasks.
Perfect for B.Tech CSE / AIML students and anyone preparing for data science interviews.
#MachineLearning #SVM #SupportVectorMachine #DataScience #AI #ML
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