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Guide to ML

I want to learn machine learning with python as any competition I want to jump in needs sort of ML. What I need is a checklist or to-do list so I can start with it as soon as possible. Also, suggest me some brain-friendly books like head first. I can say I know python. So tell me something other than python. Suggest modules and all. Any help appriciated :).

19th Apr 2019, 2:18 PM
Yugabdh - avatar
2 Answers
+ 1
Some of the base modules and libraries you will find essential for machine learning: numpy (very fast library for working with matrices) pandas (for data analysis and data transformation) scikit-learn (statistical-analytical ML tools) tensorflow (neural networks) A good place to start research, can be: Of course there are tons of online courses, youtube videos tutorials and books.... For free ebooks and daily deals, you can check this website frequently: Some of those free books are always available eg. Python Machine Learning By Example
22nd Apr 2020, 7:06 PM
Tibor Santa
Tibor Santa - avatar
+ 1
Tibor Santa thanks mate It's been a year I will like to add some more information here I will suggest people watch Corey Schafer videos he has great tutorials on youtube for libraries you suggested. Link: I understood many things from this channel. Also if some people want to do courses there is a course by Stanford you on ML you can do it for the free. Note that if you want certification for this course you need to purchase the access else course material is free. I will also suggest that do some basic study on statistics and probability else it will be a bit difficult to understand algorithms.
23rd Apr 2020, 4:05 AM
Yugabdh - avatar