Hi everyone! I am a 2nd year BI student trying to learn ML. I am interested in microbiome research and genomics, and have realised how important ML is for BI, so I want to learn it properly not just surface level.
The problem I am facing is, I don’t know how to structure my learning. I am anywhere and everywhere. And it gets overwhelming at one point.
I would appreciate if you guys could help me in finding effective resources, Beginner friendly solid resources like yt or books.
Project ideas that a BI student can relate to, nothing novel, just beginner so that I can start somewhere.
Any mistakes that you made during your learning that I can avoid.
Or any other question that I am not asking but I SHOULD BE ASKING!
I am confortable with basic python and stats, its just I am looking for roadmaps or anything that helped you when you started.
Thanks in advance!
submitted by /u/Ok_Analyst_5690 to r/learnmachinelearning
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