Repository · MIT
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
★ 5.3k
Stars
696 forks · 6 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
11.9
Momentum / 100
see the breakdown below
6y ago
Created
last push 9mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.53× the monthly pace |
| Freshness | 15 | 0.0 | last push 9mo ago; decays to zero at 180 days |
| Scale | 15 | 10.8 | 5.3k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 11.9 | sum of the above |
Detail
| Topics | artificial-intelligencecheat-sheetscoursecourseracoursera-machine-learningdata-sciencedeep-learninglearn-to-codelearninglearning-pythonlinear-algebramachine-learningneural-networkspracticeprobability-statisticsread-articlestutorialtutorialsyoutubeyoutube-playlist |
| Matched on | Learning & Roadmaps (tutorial) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +7 stars over 26 days = 0.3/day |
| Lifetime average | 2.38 stars/day over 2,233 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |