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Course Introduction
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Classroom Contents
Machine Learning Course for Beginners
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- 1 Course Introduction
- 2 Fundamentals of Machine Learning
- 3 Supervised Learning and Unsupervised Learning In Depth
- 4 Linear Regression
- 5 Logistic Regression
- 6 Project: House Price Predictor
- 7 Regularization
- 8 Support Vector Machines
- 9 Project: Stock Price Predictor
- 10 Principal Component Analysis
- 11 Learning Theory
- 12 Decision Trees
- 13 Ensemble Learning
- 14 Boosting, pt 1
- 15 Boosting, pt 2
- 16 Stacking Ensemble Learning
- 17 Unsupervised Learning, pt 1
- 18 Unsupervised Learning, pt 2
- 19 K-Means
- 20 Hierarchical Clustering
- 21 Project: Heart Failure Prediction
- 22 Project: Spam/Ham Detector
