10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Practical Full-Stack Machine Learning
10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersRepository of teaching materials, code, and data for my data analysis and machine learning projects.
$ npx skills add rhiever/Data-Analysis-and-Machine-Learning-Projects🦘 Explore multimedia datasets at scale
$ npx skills add comet-ml/kangasStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlitfklearn: Functional Machine Learning
$ npx skills add nubank/fklearnA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learnA comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
$ npx skills add Nyandwi/machine_learning_complete100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
$ npx skills add ajcr/100-pandas-puzzlesProbably the best curated list of data science software in Python.
$ npx skills add krzjoa/awesome-python-data-science2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
$ npx skills add unslothai/hyperlearninteractive notebooks from Planet Engineering
$ npx skills add planetlabs/notebooksPyMC educational resources
$ npx skills add pymc-devs/pymc-resources利用Python进行数据分析 第二版 (2017) 中文翻译笔记
$ npx skills add BrambleXu/pydata-notebookBook_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
$ npx skills add Visualize-ML/Book6_First-Course-in-Data-Science小型金融知识图谱构建流程(neo4j / python / cypher / KG)
$ npx skills add jm199504/Financial-Knowledge-GraphsKernel Density Estimation in Python
$ npx skills add tommyod/KDEpyHow to choose
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 Machine Learning if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.