Python is one of the most popular programming languages worldwide, with an ever-increasing number of libraries and frameworks to facilitate AI and ML development. With over 250 libraries in python, it can be a bit confusing to know which one is the best for your project and to keep up with technological changes and trends that come with all of them. 

Below are the popular Python machine-learning libraries I’ve used. I do my best to sort them out in terms of which ones to use for what scenario. There are a ton more libraries than just these, but I can’t speak to libraries I haven’t used, and I think these are the ones getting used the most.

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