Sign in
← Back to search
github Active

Repository profile

mrdbourke/machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

MIT master Stack scanned README.md
Sign in to like mrdbourke/machine-learning-roadmap
Open GitHub
Stars
7,879
Forks
1,170
Watchers
352
Issues
12
Commits
12
Awesome lists
1

Repository updates

Follow repository updates

Get generated mrdbourke/machine-learning-roadmap development summaries by email, or follow the weekly and monthly RSS feeds.

Weekly RSS Monthly RSS

Sign in to subscribe by email. RSS feeds are public.

Sign in to subscribe

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-07-08 03:10

Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
Stars since baseline
+17
Snapshot coverage
6

Tracked growth

6 captures since 2026-05-22

Stars from baseline +17

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-08 03:10

Stack signals
0
Package managers
0
Manifest files
0
Dependencies
0

Frameworks and tools

  • No framework dependencies detected.

Dependency files

  • No dependency manifests detected.

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
4
Tags
0
Stacks
0

Topics

#data #data-science #deep-learning #machine-learning

Generated tags

No generated tags yet.

Stack labels

No stack labels yet.

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

0 paths
No AI development config files detected.

Similar repositories

Nearest indexed repositories by embedding similarity.

aurimas13/Machine-Learning-Goodness

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.

285 stars
Jupyter Notebook 2 awesome lists

iffiX/machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

418 stars
Python 1 awesome list

microsoft/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

88,135 stars
Jupyter Notebook 1 awesome list

genieincodebottle/generative-ai

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

2,532 stars
Jupyter Notebook 1 awesome list

Metadata

Language
n/a
License
MIT
Default branch
master
Created
2020-07-09
First commit
2020-07-09
Last pushed
2022-12-08
GitHub updated
2026-07-07
Last synced
2026-07-08 03:10
Stack detected
2026-07-08 03:10
Archived
no

Links and files

GitHub README

Appears in

1