#1
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
5.0K starsSep 22, 2023 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add Nyandwi/machine_learning_completeAlternatives
Ps4ds alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
74
Quality
82
Trust
593
Stars
#2
Streamlit — A faster way to build and share data apps.
45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit#3
nannyml: post-deployment data science in python
2.1K starsJul 12, 2025 pushdata-analysisPythonData Analysis
$ npx skills add NannyML/nannyml#4
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners#5
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
7.1K starsJun 7, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn-contrib/imbalanced-learn#6
Visualizer for pandas data structures
5.2K starsMay 29, 2026 pushdata-analysisTypeScriptData Analysis
$ npx skills add man-group/dtale#7
Open Machine Learning Course
11K starsMar 1, 2026 pushdata-analysisPythonData Analysis
$ npx skills add Yorko/mlcourse.ai#8
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
6.7K starsJun 21, 2023 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add rhiever/Data-Analysis-and-Machine-Learning-Projects#9
Probably the best curated list of data science software in Python.
3.5K starsApr 13, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add krzjoa/awesome-python-data-science#10
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
659 starsJun 13, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add Niketkumardheeryan/ML-CaPsule#11
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
2.5K starsNov 19, 2024 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add unslothai/hyperlearn#12
bansalkanav/Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI is a high-star GitHub project relevant to AI agent workflows.
968 starsApr 8, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add bansalkanav/Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI#13
This repository helps you learn Python and Machine Learning from scratch.
2.2K starsJun 14, 2026 pushdata-analysisJupyter NotebookData Visualization
$ npx skills add Tanu-N-Prabhu/Python#14
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
709 starsApr 11, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition#15
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
2.5K starsJun 14, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add apache/hamilton#16
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
43K starsJun 15, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradioHow to choose
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Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Ps4ds if it already passes your workflow test and repository review.
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