Projects and concepts for Machine learning use and mastery

Michael George - linkedin github

I am a Cornell Grad and Current Holberton student studying Machine Learning. Particularly interested in predictive analytics and data science.

There are three main folders for machine learning project: Reinforcement learning, supervised learning, and unsupervised learning. Additionally there are two supplementary folders for necessary topics: math, which covers needed math topics such as linear algebra, and pipeline, which covers the ML pipeline such as collection and use of data.

These sources cover big topics and/or dependencies that are used in all sub folders

AI All in One youtube channel

convolution

image processing

https://github.com/Machinelearninguru/Image-Processing-Computer-Vision/blob/master/Convolutional%20Neural%20Network/Convolutional%20Layers/README.md

https://www.deeplearningbook.org/

Great ML book(links to RNN section

Reinforcement learning book (and updated version: http://incompleteideas.net/book/RLbook2020.pdf )

L42 project: recommended as great resource, unfortunately it's mostly in french