Machine Learning Course for Beginners
Study the idea and sensible utility of machine studying ideas on this complete course for newbies.
🔗 Studying assets: https://github.com/ayush714/ML001-Challenge-Sources-Code-and-Studying-Supplies
💻 Code: https://github.com/ayush714/ML001-Challenge-Sources-Code-and-Studying-Supplies
✏️ Course developed by Ayush Singh. Take a look at his channel: https://www.youtube.com/c/neweraa
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Course Introduction
⌨️ (0:04:34) Fundamentals of Machine Studying
⌨️ (0:25:22) Supervised Studying and Unsupervised Studying In Depth
⌨️ (0:35:39) Linear Regression
⌨️ (1:07:06) Logistic Regression
⌨️ (1:24:12) Challenge: Home Worth Predictor
⌨️ (1:45:16) Regularization
⌨️ (2:01:12) Assist Vector Machines
⌨️ (2:29:55) Challenge: Inventory Worth Predictor
⌨️ (3:05:55) Principal Element Evaluation
⌨️ (3:29:14) Studying Concept
⌨️ (3:47:38) Resolution Timber
⌨️ (4:58:19) Ensemble Studying
⌨️ (5:53:28) Boosting, pt 1
⌨️ (6:11:16) Boosting, pt 2
⌨️ (6:44:10) Stacking Ensemble Studying
⌨️ (7:09:52) Unsupervised Studying, pt 1
⌨️ (7:26:58) Unsupervised Studying, pt 2
⌨️ (7:55:16) Okay-Means
⌨️ (8:20:21) Hierarchical Clustering
⌨️ (8:50:28) Challenge: Coronary heart Failure Prediction
⌨️ (9:33:29) Challenge: Spam/Ham Detector
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👾 Nick Raker
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