This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Learn ML engineering for free in 4 months! Register here 👇🏼
Public facing notes page
Quantitative analysis, strategies and backtests
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
TranslatedLearning machine learning and quantitative analysis, in progress
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.