Machine Learning Course for Beginners

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Educational and infotainment Hub

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

ЁЯФЧ Learning resources: https://github.com/ayush714/ML....001-Project-Sources-
ЁЯТ╗ Code: https://github.com/ayush714/ML....001-Project-Sources-

тЬПя╕П Course developed by Ayush Singh. Check out his channel: https://www.youtube.com/c/neweraa

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

ЁЯОЙ Thanks to our Champion and Sponsor supporters:
ЁЯС╛ Wong Voon jinq
ЁЯС╛ hexploitation
ЁЯС╛ Katia Moran
ЁЯС╛ BlckPhantom
ЁЯС╛ Nick Raker
ЁЯС╛ Otis Morgan
ЁЯС╛ DeezMaster
ЁЯС╛ AppWrite

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