1.
Introduction and Setup
1.1.
macOS Setup
1.2.
Linux Setup
1.3.
Windows Setup
2.
Linear Regression
2.1.
Single Variable Regression
2.2.
Optimization Convergence
2.3.
Multi Variable Regression
2.4.
Feature Scaling
2.5.
Nonlinear Regression
2.6.
Regularization
2.7.
Evaluation
2.8.
Bonus: Why we square errors
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Machine Learning with PyTorch
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