Alternatives and similar repositories for kaggle-advanced-regression-algos

Users that are interested in kaggle-advanced-regression-algos are comparing it to the libraries listed below

• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 7 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆25Updated 6 years ago
• scoliann / GeneticAlgorithmFeatureSelection
  A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
  ☆69Updated 8 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated last year
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆261Updated 7 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆67Updated 3 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆48Updated 9 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• PacktPublishing / Ensemble-Machine-Learning
  Code repository for Ensemble Machine Learning, published by Packt
  ☆52Updated 4 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆67Updated 5 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆54Updated 8 years ago
• louis925 / kaggle-web-traffic-time-series-forecasting
  Solution to Kaggle - Web Traffic Time Series Forecasting
  ☆34Updated 6 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆228Updated 8 years ago
• CVxTz / DeepTabular
  ☆37Updated 5 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 6 years ago
• gkapatai / MaatPy
  ☆15Updated 2 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 4 years ago
• msahamed / handle_imabalnce_class
  Address imbalance classes in machine learning projects.
  ☆65Updated 7 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆192Updated 9 years ago
• kyosek / NGBoost-experiments
  Play around with NGBoost and compare with LightGBM and XGBoost
  ☆20Updated last year
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• yzkang / QH_FInSight
  国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
  ☆87Updated 7 years ago
• CcIsHandsome / -TOP1-
  CCF大数据与计算智能大赛-工件检测TOP1方案
  ☆29Updated 5 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆22Updated 6 years ago
• KunalArora / kaggle-m5-forecasting
  Time-Series forecasting using Stats models, LightGBM & LSTM
  ☆39Updated 5 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 8 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago