Teaching monolith
Data science teaching materials
A monolith of data science teaching materials - mostly for classes I teach at [Data Science Retreat](https://datascienceretreat.com/). The project is written primarily in Jupyter Notebook, first published in 2019. Key topics include: backpropagation, bash, git, neural-networks-from-scratch, numpy.
A monolith of data science teaching materials - mostly for classes I teach at Data Science Retreat.
The materials are optimized for in person training.
This repository is built and maintained by Adam Green - adam.green@adgefficiency.com.
I blog about energy, data science and machine learning at adgefficiency.com.
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