Learn NumPy & Pandas Libraries for Machine Learning
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 discuss in the video:

NumPy:
NumPy absolute beginner guide:
https://numpy.org/devdocs/user/absolute_beginners.html

Machine Learning Plus NumPy Tutorial:
https://www.machinelearningplus.com/python/numpy-tutorial-part1-array-python-examples/

Better Programming NumPy Visual Guide:
https://betterprogramming.pub/numpy-illustrated-the-visual-guide-to-numpy-3b1d4976de1d

The Game Of Life with NumPy:
https://github.com/rougier/numpy-tutorial

Stanford NumPy Tutorial:
https://cs231n.github.io/python-numpy-tutorial/

Pandas:

10 minute guide to Pandas:
https://pandas.pydata.org/docs/user_guide/10min.html

Intro to data structures with Pandas:
https://pandas.pydata.org/docs/user_guide/dsintro.html

Pandas cookbook:
https://pandas.pydata.org/docs/user_guide/cookbook.html#multiindexin

Pandas visual guide:
https://jalammar.github.io/gentle-visual-intro-to-data-analysis-python-pandas/

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