Support Vector Classifier (SVC) in Python | SVM Tutorial & Practical Implementation
Автор: Code With Yasir Nawaz
Загружено: 2025-12-29
Просмотров: 51
Description
In this video, we explain Support Vector Classifier (SVC), a powerful supervised learning algorithm used for classification tasks.
You will learn the concept of hyperplanes, margins, and kernels and how to implement SVC in Python using Scikit-learn.
🔍 What you will learn in this video:
Introduction to Support Vector Machines (SVM)
Concept of hyperplane, margin, and support vectors
Linear vs Non-linear SVM
Kernel trick explained (linear, polynomial, RBF)
Implementing SVC in Python using Scikit-learn
Training and testing SVC model
Evaluating model performance (accuracy, confusion matrix)
Real-world applications of SVC
This tutorial is perfect for students, beginners, and anyone learning machine learning classification.
📌 Tools & Libraries Used:
Python
Scikit-learn
NumPy
Pandas
Matplotlib / Seaborn
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