Some examples of machine learning with python (using jupyter notebooks), mostly using scikit-learn (and keras with tensorflow as backend).
For each algorithm, a minimal example is provided.
The repository is composed of three folders, studying respectively supervised, unspervised and reinforcement (TODO for reinforcement).
It is not designed to be a complete overview of ML at all; the repo illustrates the presentation 2020-05-20.pdf.
I recommend the following links:
https://github.com/ZuzooVn/machine-learning-for-software-engineers
https://github.com/trekhleb/homemade-machine-learning
https://github.com/rushter/MLAlgorithms
https://github.com/PacktPublishing/Machine-Learning-Algorithms