dorukcanga/AutoFeatSelect
A python library to automate feature selection process for machine learning projects.
This library helps machine learning engineers or data scientists streamline the initial data preparation phase of their projects. It takes raw datasets with many potential input variables and automatically identifies which ones are most influential for predicting a target outcome. The output is a refined set of features and their importance rankings, making models more efficient and accurate.
No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or machine learning engineer who needs to quickly and systematically identify the most impactful features in your dataset, especially when dealing with many variables.
Not ideal if you are looking for a no-code solution, as this tool requires familiarity with Python programming and machine learning concepts.
Stars
64
Forks
9
Language
Python
License
MIT
Category
Last pushed
Oct 11, 2023
Commits (30d)
0
Dependencies
4
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