Want to Master Machine Learning? Try This Powerful Support Vector Machine (SVM) Technique

Video Description

Support Vector Machine(SVM) This tutorial explains Support Vector Machine (SVM) — a powerful machine learning algorithm used in supervised learning to separate classes with the best decision boundary. You’ll learn how the SVM algorithm works, why it is widely used in data science, and how to apply SVM in machine learning projects. Perfect for anyone following a machine learning tutorial or a complete machine learning course. A Support Vector Machine (SVM) is a powerful supervised machine learning algorithm used for classification and regression. It works by finding the best possible boundary (hyperplane) that separates different classes in the data. SVM chooses this boundary by maximizing the margin—the distance between the boundary and the closest data points, called support vectors. A larger margin makes the model more accurate and stable. When the data isn’t linearly separable, SVM uses kernel functions (like RBF, polynomial, sigmoid) to map data into higher dimensions, where separation becomes easier. This allows SVM to handle complex, non-linear patterns. SVM is widely used because it is: High-performing on small and medium datasets Robust to outliers due to margin maximization Effective for high-dimensional data Great with clear class separation --- Github Link: https://github.com/edumentordeepti/For-Youtubers --- Chapter/ Timestamp: 00:00 - intro 00:31 - how to understand about support vector machine (svm)? 05:32 - how to understand core concept of svm? 08:16 - how to get mathematical intuition of svm? 15:14 - how to understand types of kernel function in svm? 21:10 - how to understand linear and non-linear svm? 23:21 - pros and cons of svm? 26:11 - how to relate real world examples of svm? 27:30 - outro --- "Complete Roadmap from Scratch to End AI full course - EduMentor Deepti" Python in AI ➡️ Data Science ➡️ Machine Learning ➡️ Deep Learning ➡️ Generative AI ➡️ Advance Generative AI --- 👉 Do not forget to subscribe and start watching from the beginning to follow the full curriculum. "Learning should be free, accessible, and practical — and that’s exactly what you’ll get here." https://www.youtube.com/@EduMentorDeepti --- ❓ Any question or queries? Drop them in the comments below! 👍Like, ✅ Subscribe & 👉 🔔 hit bell icon for all notifications, ↗️ Share and 💡Comment for Suggestions ✉️ Email Us – [email protected] #edumentordeepti #supportvectormachine #svm #machinelearning #supervisedlearning #classification #regression #kernelfunction #rbfkernel #datascience #ai #artificialintelligence #mlalgorithms #python #pythonmachinelearning #computerscience #techlearning #datamining #patternrecognition #mltutorial #datasciencetutorial #educationalcontent #beginnersmachinelearning #advancedml #deeplearning #analytics #bigdata #techskills --- DISCLAIMER: This video is created for educational purposes only. We do not own any copyrights, all code, resources shared are for learning only and all rights go to their respective owners. Please respect licenses and terms of use when implementing in your projects. The usage is non-commercial and we do not make any profit from it. The sole purpose of this vides is to " Learn & Grow... " together in the field of Artificial Intelligence and Machine Learning..