The Python Needed For Aiml complete Roadmap

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