Python examples for the course "Multimodal Information Processing & Analysis" of the MSc in Data Science in NCSR Demokritos
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Introduction to Python for Data Science
Doing Bayesian statistics in Python!
This repo contains the projects made for the course of Jose Portilla on Udemy.
Jupyter notebooks for demo/projects, now that github supports them
Medical data processing and ML workshops
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
Momentum AI course in machine learning
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
PyMC educational resources
Examples of applied machine learning
Scikit-learn tutorial at SciPy2016
Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
Python examples for the Machine Learning Course at MSc of AI at NCSR Demokritos