This curated list presents 51 exceptional GitHub repositories to find out Expert system, arranged by problem level: Beginner , Intermediate , and Advanced They cover a wide range of subjects: artificial intelligence, deep knowing, generative models, autonomous agents, NLP, computer system vision, neural networks, MLOps, and more.
Each database includes its name with a web link and a quick description. These are popular, well-documented jobs with functional sources such as notebooks, datasets, and tasks.
Novice (AI and Artificial Intelligence Basics)
- 100 Days of ML Code — A 100 -day plan for presenting yourself to Artificial intelligence with day-to-day principles and workouts. (~ 47 k stars).
- Data Scientific Research for Beginners (Microsoft) — A 10 -week educational program covering crucial data science principles with videos, quizzes, and tasks. (~ 30 k stars).
- Artificial Intelligence for Beginners (Microsoft) — A 12 -week, 26 -lesson program introducing “classical” artificial intelligence with Scikit-learn and real-world datasets. (~ 76 k stars).
- Python Data Science Manual — Jupyter notebooks from Jake VanderPlas’ book, introducing Python collections for data scientific research. (~ 45 k celebrities).