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Introduction to Machine Learning

Assigments folder contains implementation of main machine learning algorithms by using numpy, scipy... libraries. The course was perfect. I have access to almost anything. And there were given answers to check whether you did assigment correctly.

Competitions still not finished. If I could make myself, I will do them.

I had some knowledge of probability and statistics before course. While following lecture, I had realized that I don't have linear algebra knowledge. While bouncing around, I had come across this legendary course from Gilbert Strang. He is legendary that at 85 he is still giving course with such rigor and full of passion. If you have some basic knowledge on linear algebra and want to learn more, I think, this is the thing you should follow.

You could find whole info related to course from this link

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