Reinforcement Learning Jupyter Notebooks
More great Jupyter Notebooks in the AI field:<p>1) 16 notebooks from the book "Python Machine Learning" by Raschka & Mirjalili
<a href="https://github.com/rasbt/python-machine-learning-book-2nd-edition#whats-new-in-the-second-edition-from-the-first-edition" rel="nofollow">https://github.com/rasbt/python-machine-learning-book-2nd-ed...</a><p>2) Linear Regression, Logistic Regression, Random Forests, and k-Means Clustering notebooks by Nitin Borwankar
<a href="https://github.com/nborwankar/LearnDataScience" rel="nofollow">https://github.com/nborwankar/LearnDataScience</a><p>3) scikit-learn tutorial notebooks by Jake VanderPlas
<a href="https://github.com/jakevdp/sklearn_tutorial" rel="nofollow">https://github.com/jakevdp/sklearn_tutorial</a><p>4) Lots of deep learning notebooks from the book "Deep Learning with Python" by François Chollet
<a href="https://github.com/fchollet/deep-learning-with-python-notebooks" rel="nofollow">https://github.com/fchollet/deep-learning-with-python-notebo...</a><p>Bonus) Jupyter notebook on AWS tutorial (when your local computer just won't handle your notebook requirements):
<a href="http://efavdb.com/deep-learning-with-jupyter-on-aws/" rel="nofollow">http://efavdb.com/deep-learning-with-jupyter-on-aws/</a><p>Please share your jupyter notebook recommendations.