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feature-selection

https://static.github-zh.com/github_avatars/Yimeng-Zhang?size=40
Jupyter Notebook 1.6 k
3 年前
https://static.github-zh.com/github_avatars/NVIDIA-Merlin?size=40

#计算机科学#NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Python 1.1 k
1 年前
https://static.github-zh.com/github_avatars/ashishpatel26?size=40

#计算机科学#Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning alg...

Jupyter Notebook 746
3 个月前
https://static.github-zh.com/github_avatars/duxuhao?size=40
Python 681
6 年前
https://static.github-zh.com/github_avatars/AutoViML?size=40

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Python 665
7 个月前
https://static.github-zh.com/github_avatars/smazzanti?size=40

#计算机科学#mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Python 602
10 个月前
https://static.github-zh.com/github_avatars/cerlymarco?size=40

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Jupyter Notebook 579
1 年前
https://static.github-zh.com/github_avatars/akanz1?size=40

Easy to use Python library of customized functions for cleaning and analyzing data.

Python 522
14 天前
https://static.github-zh.com/github_avatars/EpistasisLab?size=40

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Python 420
3 年前
https://static.github-zh.com/github_avatars/Desbordante?size=40
C++ 419
2 天前
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