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 The first half is more or less my learning path in the past two years while the second half is my plan for this year. I tried to make a balance between comprehension and doability. For more extensive lists, you can check [Github search](https://github.com/search?utf8=%E2%9C%93&q=awesome+machine+learning&type=) or [CS video lectures](https://github.com/Developer-Y/cs-video-courses)
 
+If you are looking for somewhere to experiment and try the links below out, have a look at [Deepnote](https://www.deepnote.com).
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 Hope the list is helpful, especially to whom are not in CS major but interested in data science!
 
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