dr-mushtaq/Machine-Learning

A complete A-Z guide to Machine Learning and Data Science using Python. Includes implementation of ML algorithms, statistical methods, and feature selection techniques in Jupyter Notebooks. Follow Coursesteach for tutorials and updates.

56 26 +0/wk

GitHub

classification data-science educational-resources feature-selection jupyter-notebook machine-learning notebooks python regression scikit-learn unsupervised-learning

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Star & Fork Trend (15 data points)

Stars

Forks

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GitHub

stars 56

forks 26

Growth Velocity

dr-mushtaq/Machine-Learning has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	Machine-Learning	python-sdk	DevOps-Cloud-Projects	aiAgentStudio
Stars	56	56	56	56
Forks	26	6	16	24
Weekly Growth	+0	+0	+0	+0
Language	Jupyter Notebook	Python	JavaScript	Apex
Sources	1	1	1	1
License	N/A	MIT	NOASSERTION	MPL-2.0

Capability Radar vs python-sdk

Machine-Learning

python-sdk

Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 20

Fork-to-star ratio: 46.4%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.