This repository will house all my submissions, assignments and any related code for this course.
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Week 1 (No programming assignments)
Introduction, Linear Regression with One Variable, Linear Algebra Review -
Week 2
Linear Regression with Multiple Variables, Octave/Matlab Tutorial -
Week 3
Logistic Regression, Regularization -
Week 4
Neural Networks: Representation -
Week 5
Neural Networks: Learning -
Week 6
Advice for Applying Machine Learning, Machine Learning System Design -
Week 7
Support Vector Machines -
Week 8
Unsupervised Learning, Dimensionality Reduction -
Week 9
Anomaly Detection, Recommender Systems -
Week 10 (No programming assignments)
Large Scale Machine Learning -
Week 11 (No programming assignments)
Application Example: Photo OCR