The essential python skills you need in artificial intelligence and machine learning, including libraries like NumPy, Pandas, Matplotlib, Scikit-Learn and PyTorch. In this video, I break down why you should learn python for AI/ML, then walk you through the core python concepts you need to know, giving you a clear roadmap for your own studies. I’ll also share the free resources that helped me along the way.
RESOURCES MENTIONED
Python Virtual Environments: https://realpython.com/python-virtual-environments-a-primer/
W3Schools: https://www.w3schools.com/python/
PY4E: https://www.py4e.com
Python for Everybody Specialization: https://www.coursera.org/specializations/python
Python Data Science Handbook: https://jakevdp.github.io/PythonDataScienceHandbook/
Python Data Science Handbook GitHub: https://github.com/jakevdp/PythonDataScienceHandbook
freeCodeCamp OOP with Python: https://www.youtube.com/watch?v=Ej_02ICOIgs
GIT CHEAT SHEET: https://education.github.com/git-cheat-sheet-education.pdf
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
Deep Learning with PyTorch: https://www.amazon.co.uk/Deep-Learning-Pytorch-Eli-Stevens/dp/1617295264
TIMESTAMPS
0:00 – Introduction
0:26 – Why Should You Even Learn Python for AI/ML?
1:25 – Stage 1
2:19 – Stage 2
3:09 – Stage 3
3:58 – Stage 4
5:17 – Stage 5
#python #ai #machinelearning #datascience
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