Machine Learning Course for Beginners

Machine Learning Course for Beginners
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

💻 Code: https://github.com/ayush714/ML001-Project-Sources-Code-and-Learning-Materials

⭐️ 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

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