feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Read a detailed guide on preparing and selecting features for machine learning projects, with examples in Python.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
feature-engineering-and-feature-selection has 1.7k stars on GitHub. It has been forked 422 times. feature-engineering-and-feature-selection is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are data-mining, feature-engineering, feature-extraction, feature-selection.
What is feature-engineering-and-feature-selection?
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Is feature-engineering-and-feature-selection open source?
feature-engineering-and-feature-selection is an open-source project.
Is feature-engineering-and-feature-selection free?
Yes. feature-engineering-and-feature-selection is free and open source — you can use, modify and self-host it.
What language is feature-engineering-and-feature-selection written in?
feature-engineering-and-feature-selection is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/yimeng-zhang-feature-engineering-and-feature-selection.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.