Copper
Fast, easy and intuitive machine learning prototyping.
Install / Use
/learn @danielfrg/CopperREADME
Copper 
Copper objective is to make machine learning prototyping on python as fast and intuitive as possible. To do so connects via the Dataset and Model Comparison classes the pandas and scikit-learn projects.
Examples
More information on: copper.readthedocs.com
Requirements
- pandas
- scikit-learn
Note: The package is currently developed for Python 2.7 because scikit-learn does not support python 3 yet. When scikit-learn supports python 3 this project will drop support for python 2 becuase all requirements will support python 3.
I recommend using the Anaconda python distribution
Install
pip install copper
TODO
Better tests for Model Comparison Add missing metrics to Model Comparison
Related Skills
proje
Interactive vocabulary learning platform with smart flashcards and spaced repetition for effective language acquisition.
YC-Killer
2.7kA library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
best-practices-researcher
The most comprehensive Claude Code skills registry | Web Search: https://skills-registry-web.vercel.app
groundhog
398Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).
