How To Learn Python For Machine Learning (NumPy & Pandas Guide)
Python is an extremely popular programming language and it has a wide range of applications, most notably, it’s one of the most widely used languages within machine learning and data science. It’s also an extremely beginner friendly programming language so if you don’t have any experience with coding, this is the right language to start out with. Before beginning any project in machine learning and data science, it’s extremely important that one learns to program in Python and more specifically learns the libraries that are needed in machine learning; NumPy & Pandas.
Below are the links to the resources I discuss in the video:
NumPy:
NumPy absolute beginner guide:
https://numpy.org/devdocs/user/absolu...
Machine Learning Plus NumPy Tutorial:
https://www.machinelearningplus.com/p...
Better Programming NumPy Visual Guide:
https://betterprogramming.pub/numpy-i...
The Game Of Life with NumPy:
https://github.com/rougier/numpy-tuto...
Stanford NumPy Tutorial:
https://cs231n.github.io/python-numpy...
Pandas:
10 minute guide to Pandas:
https://pandas.pydata.org/docs/user_g...
Intro to data structures with Pandas:
https://pandas.pydata.org/docs/user_g...
Pandas cookbook:
https://pandas.pydata.org/docs/user_g...
Pandas visual guide:
https://jalammar.github.io/gentle-vis...
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