zero-to-mastery-ml

Teach yourself Machine Learning mrdbourke/zero-to-mastery-ml t.co

Zero to Mastery Machine Learning: All course materials for the Zero to Mastery Machine Learning and Data Science course (7.3k stars) What it does All text below is quoted directly from the project README. >All course materials for the Zero to Mastery Machine Learning and Data Science course. How this course is structured: - Section 1 - Getting your mind and computer ready for machine learning (concepts, computer setup) - Section 2 - Tools for machine learning and data science (pandas, NumPy, Matplotlib, Scikit-Learn) - Section 3 - End-to-end structured data projects (classification and regression) - Section 4 - Neural networks, deep learning and transfer learning with TensorFlow 2.0 - Section 5 - Communicating and sharing your work >Note: All of the datasets we use in the course are available in the data/ folder. Repository mrdbourke/zero-to-mastery-ml Repository stats |Metric|Value| |:-|:-| |Stars|7,330| |Forks|4.2k| |Last release|None| |Languages|Jupyter Notebook 100%| |Contributors|24| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|None| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Daniel Bourke| |GitHub|@mrdbourke| |Commits to this repo|311 (top contributor)| |Bio|Machine Learning Engineer live on YouTube.| |Followers|12.5k| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.