ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
At a glance
Is this tool relevant to you?
What it does
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
May suit
People who want a usable interface for interacting with AI models.
Before you try it
The repository reports a MIT license. Setup difficulty and device support still need to be checked upstream.
Evidence & freshness
What we know, and how recently we checked
Core repository facts were fetched from GitHub and passed the catalog quality checks in the current refresh window.
- Source
- Verified GitHub snapshot
- Checked
- Evidence level
- High confidence
- Maintenance signal
- Healthy75/100
Generally healthy automated signals, with some areas worth checking in the breakdown.
The health score is an automated maintenance signal, not a security audit or a guarantee that the tool fits your needs.
How verification and health scoring work
Catalog-verified records use a timestamped GitHub snapshot that passed source and completeness checks. Basic listings come from the wider automated sync and have not yet passed that stronger verification path.
Health combines recent activity, commit frequency, issue handling, contributor depth, release cadence, documentation, and community signals. Missing evidence lowers how much confidence you should place in the number.
Read the full methodology →⭐
88.5K
Stars
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21.6K
Forks
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156
Contributors
💚
Healthy75/100
Health Score
Star History
Health Score Breakdown
Star Momentum
100
Commit Frequency
49
Issue Health
60
Contributors
100
Release Cadence
10
Documentation
100
Community Signal
100
Project Info
- Language
- Jupyter Notebook
- License
- MIT
- Last Commit
- 7d ago
- Last Release
- N/A
- Open Issues
- 2
- Bus Factor
- 10
- Commits/Week
- 9.8
- Avg Issue Close
- 7.5 days
data-scienceeducationmachine-learningmachine-learning-algorithmsmachinelearningmachinelearning-pythonmicrosoft-for-beginnersmlpythonrscikit-learnscikit-learn-python
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