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I'm an intermediate machine learning student and want to get more detailed and specific practical intuition about artificial intelligence. I have made a couple of searches over the well-observed learning sites like Stack Overflow, Reddit, Quora, and Medium. But there is a lot of stuff about machine learning and artificial intelligence on the internet, and it seems like I am beating around the bush over the Internet.

Recently, I have done my intuition with the most recommended course in these research communities Machine Learning by Andrew-NG.

Where can I get relevant exercise materials (such as assignments or problems) of commonly used Machine Learning Algorithms (i.e. Linear Regression, Logistic Regression, Decision Tree, SVM, kNN, etc)?

So that I can implement them from scratch and program machine learning models accordingly.

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  • $\begingroup$ @nbro really appreciating. Thanks! Can you please suggest me some references based on technical considerations? $\endgroup$ – Muhammad Usman Apr 4 '20 at 18:55
  • $\begingroup$ ML is still a big area. Maybe you could even focus on a specific ML topic. What are you interested in? $\endgroup$ – nbro Apr 4 '20 at 19:02
  • $\begingroup$ I have updated my question more specifically. I want to implement the most common and essential ML algorithms from scratch. Which are the building blocks of any ML model and can be applied to any type of Data? $\endgroup$ – Muhammad Usman Apr 4 '20 at 19:28

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