jacopotagliabue/MLSys-NYU-2022

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

44
/ 100
Emerging

This project provides comprehensive teaching materials for those looking to apply machine learning in finance. It includes slides, code snippets, and assignments that guide users through practical implementation with industry-standard tools. The content is designed for students and practitioners who want to build reliable and trustworthy ML systems for financial use cases.

547 stars. No commits in the last 6 months.

Use this if you are a student or professional in finance eager to learn practical machine learning applications and industry best practices.

Not ideal if you are looking for a purely theoretical deep dive into machine learning algorithms or a replacement for an interactive university course.

financial-modeling fraud-detection recommender-systems financial-engineering MLOps-finance
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

547

Forks

62

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 11, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jacopotagliabue/MLSys-NYU-2022"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.