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Stars gained: From May 8, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 12, 2026, each from zero02K4KMay 8Nov 12, 2026rbhatia46/Data-Science-Interview-Resourcesstefan-jansen/machine-learning-for-trading
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K20KApr 25Nov 12, 2026rbhatia46/Data-Science-Interview-Resourcesstefan-jansen/machine-learning-for-trading

Facts

Fact rbhatia46/Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

stefan-jansen/machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Stars 3,47621,797
Net stars, last 30 days +9+480
Largest star day +8 on Jun 14, 2026+640 on Jun 2, 2026
Milestone reached in the record NoneNone
Forks 7695,779
Language Not reportedJupyter Notebook
License MITMIT
Created Nov 22, 2018May 9, 2018
Last push Aug 7, 2024Nov 12, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases 0 of 3 checks (2 without data)2 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeks No data623
Weeks with commits, last 52 No data21 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: data-science, machine-learning, artificial-intelligence. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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