Machine-Learning-Stanford

Machine learning lessons by Andrew Ng.
Assignments and projects of the Machine Learning course by Stanford University via Coursera.
Language: Octave/Matlab.

Main topics:

• Linear Algebra review.
• Linear Regression.
• Logistic Regression.
• Regularization.
• Neural Networks.
• Machine Learning System Design.
• Support Vectore Machines.
• Unsupervised Learning.
• Dimensionality Reduction.
• Anomaly Detection.
• Recommender System.
• Large Scale Machine Learning.
• Application Example: Photo OCR.

Important notes

The content of this repo is intended to study and review the code of the course, NOT to copy it and submit as your assignment. Please read the code of honor of the course.

References

Machine Learning Course on Coursera