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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero0200400Apr 26Nov 4, 2026donnemartin/data-science-ipython-notebooksYorko/mlcourse.ai
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K20K30KApr 26Nov 4, 2026donnemartin/data-science-ipython-notebooksYorko/mlcourse.ai

Facts

Factdonnemartin/data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Yorko/mlcourse.ai

Open Machine Learning Course

Stars29,38310,784
Net stars, last 30 days+39+49
Largest star day+16 on May 20, 2026+10 on May 11, 2026
Milestone reached in the recordNoneNone
Forks7,9995,672
LanguagePythonPython
LicenseOther licenseOther license
CreatedJan 23, 2015Feb 27, 2017
Last pushMar 20, 2024Sep 3, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks2 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks0No data
Weeks with commits, last 520 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: python, machine-learning, data-science, scikit-learn, matplotlib, pandas, numpy, scipy. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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