microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Repository profile
code for deep learning courses
Repository updates
Get generated dataflowr/notebooks development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-04 03:05
4 captures since 2026-05-27
Stars from baseline +1
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-04 03:05
requirements.txt
python ecosystem,
13 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (i
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
12 Weeks, 24 Lessons, AI for All!
10 Weeks, 20 Lessons, Data Science for All!
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained