Cryptocurrency trading engineering: A scalable back testing infrastructure and a reliable, large-scale trading data pipeline
-
Updated
Oct 15, 2022 - Jupyter Notebook
Cryptocurrency trading engineering: A scalable back testing infrastructure and a reliable, large-scale trading data pipeline
It is easy to prototype ML models. With higher levels of abstraction, the expertise required to build any ML model is decreasing each day.
Repository for project work of Udacity's Azure ML Engineer nanodegree.
Udacity AWS ML Engineer Nanodegree
Add a description, image, and links to the mlengineering topic page so that developers can more easily learn about it.
To associate your repository with the mlengineering topic, visit your repo's landing page and select "manage topics."