Support Vector Machine (SVM)

Welcome to my YouTube tutorial on Support Vector Machines (SVM) with a hands-on demonstration using Python and the famous Iris dataset! In this video, we'll dive into the world of machine learning and explore how SVMs can be a powerful tool for classification tasks. I'll walk you through the step-by-step process of implementing SVM in Python, using the scikit-learn library, to classify Iris flowers into different species.

🔍 What You'll Learn:
- Introduction to Support Vector Machines (SVM)
- Preprocessing the Iris dataset
- Choosing the right kernel function
- Training and testing our SVM model
- Visualizing the decision boundary
- Evaluating model performance

By the end of this tutorial, you'll have a solid understanding of SVMs and how to apply them in real-world scenarios. Don't forget to like, subscribe, and hit the notification bell to stay updated with more exciting machine learning tutorials! Let's get started with SVMs and the Iris dataset in Python! 🌼📊💻
link to download the iris dataset : https://drive.google.com/file/d/1vkD8Ok8iQYfxUHdEBI_nOkl81BLaEiJk/view?usp=drive_link

link to download the Python code
https://drive.google.com/file/d/1c_a7WIh7oNI2OzdqMHkabC42tTlQgRvw/view?usp=drive_link
#MachineLearning #Python #DataScience #SVM #IrisDataset #Tutorial

Видео Support Vector Machine (SVM) канала iSmile Academy