My adventure in learning Python machine learning and deep learning.

I am learning Python Machine Learning and Deep Learning. My goal is to document my progress on a GitHub repo.

Main Classes:

• Stanford CS231n Spring 2019, Convolutional Neural Networks for Visual Recognition
  http://cs231n.stanford.edu/
• Coursera.org, deeplearning.ai class 4, Convolutional Neural Networks
  https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning
• Fast.ai, Practical Deep Learning for Coders
  https://course.fast.ai/

Main Books:

• Jake VanderPlas, Python Data Science Handbook (c 2017)
• Gareth James et. al., An Introduction to Statistical Learning: with Applications in R (c 2013)
• Francois Chollet, Deep Learning with Python (c 2018)

Folder structure will be either by topic or by class name.

I am also a member of a Meetup group in Sterling, Virginia that are learning Stanford CS231n together.

• https://www.meetup.com/Data-Science-Machine-Learing-Collaborative-Learning-Group/

If you would like me to expand upon a topic or cover a new topic, open a new issue.
Briefly describe an area that you find confusing or is not adaquately covered.

Use a pull request to make corrections or to share additional information. Typos and grammatical fixes are always welcome. Supporting information on any of the topics are also welcome.

Repo started on 7/17/2019 as a Github public repo.

Main author is Jennifer E. Yoon
Contributors include members of a Meetup Group: https://www.meetup.com/Data-Science-Machine-Learing-Collaborative-Learning-Group/