A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Scalable Machine Learning with Dask
3 captures since 2026-05-22
