After learning python what should I learn to be or how can I use it in machine learning?

Answer 1

Machine code or machine learning algorithms?

If the latter, you should get acquainted with the numpy library for vector and matrix transformations -- a basis for most significant machine learning algorithms.

For data handling and cleaning - pandas library will come in handy. It allows you to transform all sorts od datastreams to very capable DataFrames for later data mining.

Scikit-learn (sklearn) is the module you will be most interested in, as it contains all needed model classes and methods for regression, classification and clustering algorithms -- all you need to do is choose a proper model, set and fine-tune its parameters and use the .fit() method to train it on the training set and .predict() to make a prediction on unseen data.

Unless... you want to do some neural networks' deep learning. Then it's a whole another story! ;)

Answer 2

https://stackoverflow.com/questions/138521/is-it-feasible-to-compile-JUMP_LINK__&&__python__&&__JUMP_LINK-to-machine-code

maybe helpful