Machine Learning Course for Beginners

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

💻 Code on GitHub

Course Time Stamps:

  • (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

Frank

#DataScientist, #DataEngineer, Blogger, Vlogger, Podcaster at http://DataDriven.tv . Back @Microsoft to help customers leverage #AI Opinions mine. #武當派 fan. I blog to help you become a better data scientist/ML engineer Opinions are mine. All mine.