Alternatives and similar repositories for feature_selection_GAAlgorithm

Users that are interested in feature_selection_GAAlgorithm are comparing it to the libraries listed below

• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 years ago
• luanshiyinyang / Stacking
  机器学习集成模型之Stacking各类模型及工具源码
  ☆117Updated 4 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆21Updated 6 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆74Updated 5 months ago
• aflyingpig0226 / feature-engineering
  机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。
  ☆25Updated 6 years ago
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆75Updated 5 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆65Updated 6 years ago
• luckyerdog / feature_select
  在sklearn下，几种常用的特征选择方法
  ☆40Updated 9 years ago
• OlaWod / feature-selection_GA-SA
  Use Genetic Algorithm and Simulate Anneal for feature selection. 用遗传算法/模拟退火算法进行特征选择.
  ☆30Updated 5 years ago
• BackyardofAbela / EnsembleLearning
  包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用
  ☆289Updated 5 years ago
• cainsmile / GA_for_Feature_Selection
  使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree
  ☆25Updated 7 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆24Updated 5 years ago
• qiuhaining / sklearn-SVM
  支持向量机(SVM)——分类预测，包括多分类问题，核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等
  ☆52Updated 7 years ago
• wikke / TimeSeriesPrediction
  Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络
  ☆58Updated 7 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆127Updated 4 years ago
• pinlank / kdxf2019top2
  2019科大讯飞工程机械赛题-亚军
  ☆39Updated 5 years ago
• angeliababy / houseprice_regression
  数据特征工程、各种机器学习回归模型、回归数据预处理
  ☆44Updated 5 years ago
• 634671436 / Air_Pollution_Forcast_Beijing
  基于Keras的LSTM多变量时间序列预测
  ☆178Updated 7 years ago
• iwuqing / Time-Series-Classification-based-on-KNN
  基于KNN聚类算法结合Dynamic Time Warping（动态时间调整）的时间序列分类
  ☆62Updated 6 years ago
• ahcantao / PSOFeatureSelection
  A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
  ☆53Updated 7 years ago
• SimonWang00 / salesPredict
  基于ARIMA时间序列的销量预测模型，实际预测准确率达90%以上，内含有测试记录和实际上线效果。
  ☆104Updated 5 years ago
• oubahe / GSA-PSO-SVR
  一种有效的电力负荷预测方法
  ☆63Updated 5 years ago
• raemonx / PSO-FS
  Wrapper Based feature selection using Particle Swarm Optimization
  ☆12Updated 6 years ago
• aBadCat / machineLearning
  Learning and Recording
  ☆34Updated 5 years ago
• zhulei227 / ML_imblearn
  类别不平衡学习，包括采样、代价敏感学习、决策输出补偿以及集成学习等内容
  ☆36Updated 4 years ago
• TianFengshou / hyperopt-doc-zh
  Github开源项目hyperopt系列的中文文档,以及学习教程等
  ☆163Updated 5 years ago
• RamanSinghca / PSO-Based-SVR
  PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.
  ☆42Updated 8 years ago
• SureeLee / ga_bp
  a back propagation neural network with genetic algorithm
  ☆81Updated 7 years ago
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆65Updated 7 years ago