Completed programming exercises for Coursera Stanford University Machine Learning course.
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libsvm-master
machine-learning-ex1
machine-learning-ex2
machine-learning-ex3
machine-learning-ex4
machine-learning-ex5
machine-learning-ex6
machine-learning-ex7
machine-learning-ex8
Lecture1.pdf
Lecture10-model-design-QA.pdf
Lecture11-prioritizing-what-to-do.pdf.pdf
Lecture12-support-vector-machines.pdf
Lecture13-K-means-test.pdf
Lecture14-principal-component-analysis.pdf
Lecture15-anomoly-detection.pdf
Lecture16-recommender-systems.pdf
Lecture17-large-data-sets.pdf
Lecture18-problem-pipeline.pdf
Lecture2.pdf
Lecture3.pdf
Lecture4.pdf
Lecture5-Using-Octave.pdf
Lecture6.pdf
Lecture7.pdf
Lecture8.pdf
Lecture9-neural-nets-putting-it-together.pdf