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Topic · feature-selection

feature-selection

Tracked open-source repos tagged feature-selection, sorted by stars.

Repos
12
Total stars
12,395
Avg. stars
1,033
Share
0.00%

Topics that frequently appear alongside feature-selection on the same repo.

Recent risers

Repos created in the last 90 days, tagged feature-selection.

No new repos tagged with this topic in the last 90 days.

  • feature_engine@feature-engine

    Feature engineering and selection open-source Python library compatible with sklearn.

    2,276+1Star change over the last 7 days
  • Deep_Learning_Machine_Learning_Stock@LastAncientOne

    Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

    1,787+0Star change over the last 7 days
  • mlr@mlr-org

    Machine Learning in R

    1,687+0Star change over the last 7 days
  • NVTabular@NVIDIA-Merlin

    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.

    1,151+0Star change over the last 7 days
  • lofo-importance@aerdem4

    Leave One Feature Out Importance

    871+1Star change over the last 7 days
  • evalml@alteryx

    EvalML is an AutoML library written in python.

    851-1Star change over the last 7 days
  • Amazing-Feature-Engineering@ashishpatel26

    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 algorithms. Feature engineering can be considered as applied machine learning itself.

    805+0Star change over the last 7 days
  • featurewiz@AutoViML

    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.

    684+0Star change over the last 7 days
  • mrmr@smazzanti

    mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

    629+0Star change over the last 7 days
  • shap-hypetune@cerlymarco

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

    584+0Star change over the last 7 days
  • autofeat@cod3licious

    Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

    546+0Star change over the last 7 days
  • klib@akanz1

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

    523+1Star change over the last 7 days
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