Machine Learning Course for Beginners

Course Contents

(0:00:00) Course Introduction
(0:04:34) Fundamentals of Machine Learning
(0:25:22) Supervised Learning and Unsupervised Learning In Depth
(0:35:39) Linear Regression
(1:07:06) Logistic Regression
(1:24:12) Project: House Price Predictor
(1:45:16) Regularization
(2:01:12) Support Vector Machines
(2:29:55) Project: Stock Price Predictor
(3:05:55) Principal Component Analysis
(3:29:14) Learning Theory
(3:47:38) Decision Trees
(4:58:19) Ensemble Learning
(5:53:28) Boosting, pt 1
(6:11:16) Boosting, pt 2
(6:44:10) Stacking Ensemble Learning
(7:09:52) Unsupervised Learning, pt 1
(7:26:58) Unsupervised Learning, pt 2
(7:55:16) K-Means
(8:20:21) Hierarchical Clustering
(8:50:28) Project: Heart Failure Prediction
(9:33:29) Project: Spam/Ham Detector