PacktPublishing/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

144 88 +1/wk

GitHub

machine-learning machinelearning machinelearning-python python scikit-learn

Trend 3

Star & Fork Trend (7 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 144

forks 88

Growth Velocity

PacktPublishing/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits has +1 stars this period . 7-day velocity: 0.7%.

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Signal-backed technical analysis will be available soon.

Metric	Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits	awesome-AI-kubernetes	sagemaker-xgboost-container	MSML
Stars	144	144	144	144
Forks	88	46	95	29
Weekly Growth	+1	+0	+0	+1
Language	Jupyter Notebook	N/A	Python	Jupyter Notebook
Sources	1	1	1	1
License	N/A	Apache-2.0	Apache-2.0	Apache-2.0

Capability Radar vs awesome-AI-kubernetes

Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits

awesome-AI-kubernetes

Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 20

Fork-to-star ratio: 61.1%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 82

+1 stars this period — 0.69% growth rate.

License Clarity 30

No clear license detected — proceed with caution.

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