Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
MIT License
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Scikit-learn tutorial at SciPy2016
My activities for data science learning club at http://becomingadatascientist.com/learningclub
Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University...
Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, R...
This is the public repo for the course HMMA238 'Software Development'
Computational Methods Course at UdeA. Forked and size reduced from:
Materials for a course on scikit-learn at ENSAE
Repository for original *Fall 2016* PHYS T480/580 (Big Data Physics: Methods of Machine Learning)...
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
Notebooks from DS3 course on practical optimization
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
General Assembly's Data Science course in Washington, DC
EPFL Course - Optimization for Machine Learning - CS-439
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller