# Where can I get exercises and problems to implement machine learning models and algorithms?

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.

• @nbro really appreciating. Thanks! Can you please suggest me some references based on technical considerations? – Muhammad Usman Apr 4 '20 at 18:55
• ML is still a big area. Maybe you could even focus on a specific ML topic. What are you interested in? – nbro Apr 4 '20 at 19:02
• 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? – Muhammad Usman Apr 4 '20 at 19:28