Part 3 - Supervised Learning| Classification Algorithms for Beginners | Sheryians AI School

Welcome to Part 3 of our complete Machine Learning series. In this session, we dive into the world of Supervised Learning – Classification Models. From understanding what classification is to implementing multiple powerful algorithms, this video is packed with both theory and practical knowledge to help you build real-world classifiers. The hands‑on project uses the Titanic dataset to classify survival outcomes. 00:00:00 - 00:01:07 Introduction 00:01:07 - 00:01:28 Important note 00:01:28 - 00:05:11 Structure of Video 00:05:11 - 00:08:32 What is Classification 00:08:32 - 00:27:27 Logistic Regression 00:27:27 - 00:31:21 Linear regression vs Logistic regression 00:31:21 - 00:45:11 Log Loss function 00:45:11 - 00:56:24 Logistic Regression Implementation 00:56:24 - 01:16:22 Model Evaluation 01:16:22 - 01:20:17 Model Evaluation Implementation 01:20:17 - 01:34:04 KNN 01:34:04 - 01:42:32 KNN Implementation 01:42:32 - 01:58:50 naive bayes 01:58:50 - 02:05:38 Naive bayes Implementation 02:05:38 - 02:34:36 Decision Trees 02:34:36 - 02:42:41 Decision Tree implementation 02:42:41 - 02:55:56 Basics of SVM 02:55:56 - 03:02:15 application of SVM 03:02:15 - 03:21:22 final project 03:21:22 - 03:39:04 frontend 03:39:04 - 03:39:37 outro