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Machine Learning Syllabus Overview

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9 Modules · 50 Lessons

Recommended resources

Module 1

Foundations for Practical Machine Learning

Module 2

Dimensionality Reduction with PCA

Module 3

Clustering with K-Means and GMMs

Module 4

Linear Regression and Regularization

Module 5

Instance-Based and Probabilistic Classification

Module 6

Tree-Based Ensemble Models

Module 7

Advanced Linear Classifiers and SVMs

Module 8

PyTorch Fundamentals for Deep Learning

Module 9

Image Classification with Neural Networks