feature-selection 开源项目推荐（2,394 个）

rorysroes /SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

feature-engine /feature_engine

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

edyoda /data-science-complete-tutorial

For extensive instructor led learning

LastAncientOne /Deep_Learning_Machine_Learning_Stock

深度学习和机器学习股票为长期和短期投资者及交易者提供了有前景的机会。

mlr-org /mlr

Machine Learning in R

Yimeng-Zhang /feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

NVIDIA-Merlin /NVTabular

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.

aerdem4 /lofo-importance

Leave One Feature Out Importance

alteryx /evalml

EvalML is an AutoML library written in python.

ashishpatel26 /Amazing-Feature-Engineering

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.

AutoViML /featurewiz

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.

duxuhao /Feature-Selection

Features selector based on the self selected-algorithm, loss function and validation method

smazzanti /mrmr

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

cerlymarco /shap-hypetune

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

cod3licious /autofeat

具备自动化特征工程与选择功能的线性预测模型

akanz1 /klib

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

Desbordante /desbordante-core

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

abess-team /abess

快速最佳子集选择库

nuglifeleoji /Factor-Research

Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).

EpistasisLab /scikit-rebate

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