tatsath/fin-ml resource
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2307
- days_rel: n/a
- days_push: 1315
- n_releases_24m: 0
Adoption not part of the score
1199 stars · 493 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Jupyter notebooks containing case study code from the O'Reilly book 'Machine Learning and Data Science Blueprints for Finance'. It covers machine learning applications across algorithmic trading, portfolio management, and other financial domains.
Use cases
- learn machine learning for finance
- run algorithmic trading case studies in python
- study portfolio management with unsupervised learning
- explore NLP for financial sentiment analysis
- practice ML case studies from a finance book
- run notebooks in binder or colab without installing anything
When to choose
- you are reading the book and want its accompanying code
- you want hands-on Jupyter notebook examples of ML in finance
- you want to learn algorithmic trading and portfolio optimization techniques
When to avoid
- you need production-ready trading software
- you need a maintained library with a license and releases
- you want a framework rather than educational notebooks
Facets
learning-resource · maturity maintenance
machine-learning data-science trading fintech machine-learning data-science python cross-platform jupyter-notebooks algorithmic-trading finance book-code oreilly
1 source
- readme: https://github.com/tatsath/fin-ml · fetched 2026-08-28 · 4b47ab422261
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tatsath/fin-ml | main | 32 |
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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem