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ML_Supervised

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11 Modules · 64 Lessons

Recommended resources

Module 1

Foundations of Supervised Learning and Evaluation

Module 2

Optimization with Gradient Descent

Module 3

Linear Regression from Scratch

Module 4

Logistic Regression from Scratch

Module 5

Regularization Techniques

Module 6

Support Vector Machines from Scratch

Module 7

Decision Trees and Random Forests from Scratch

Module 8

Boosting Algorithms from Scratch

Module 9

Neural Network Foundations

Module 10

Training Neural Networks with Backpropagation

Module 11

Capstone: A Comparative Study of Algorithms