Alternatives and similar repositories for MachineLearning:

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

• 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
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 2 years 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
• Qiuyan918 / m5_forcasting
  https://www.kaggle.com/c/m5-forecasting-accuracy/overview/
  ☆12Updated 4 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆22Updated 5 years ago
• Albertsr / Machine-Learning
  LR / SVM / XGBoost / RandomForest etc.
  ☆28Updated 4 years ago
• sunyingjian / boosting-and-others
  三大boosting算法的工程实现 XGBoost、LightGBM、Catboost原理实现及常见面试问题总结，以及其他理解深刻的机器学习、深度学习文章备份
  ☆11Updated 3 years ago
• weijinqian0 / feature_eda
  整理所有特征工程用到的方法，为了复用
  ☆10Updated 4 years ago
• luckyerdog / feature_select
  在sklearn下，几种常用的特征选择方法
  ☆40Updated 9 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆21Updated 5 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆46Updated 6 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
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆72Updated 5 years ago
• yuekangwei123 / DataScience-FutureAi-House-Predict
  未来杯房产租金预测算法竞赛，房产租金预测，LightGBM，XGBoost，回归，机器学习
  ☆12Updated 4 years ago
• Qiuyan918 / Adversarial_Validation_Case_Study
  当样本分布发生变化时，交叉验证无法准确评估模型在测试集上的效果，这时候需要其他构造验证集的方法来应对。
  ☆50Updated 5 years ago
• cingtiye / Convolutional-Bi-Directional-LSTM-Networks-and-feature-based-gated-recurrent-unit-networks
  ☆14Updated 5 years ago
• rogeroyer / 2019-CCF-BDCI-Car-Sales-Forecast
  top3-solution
  ☆10Updated 5 years ago
• yiqiyu / tradaboost
  The Python implementation of Tradaboost classifier and regressor
  ☆15Updated 6 years ago
• yanhan19940405 / Data_machine_learning
  2019年CCF智能信用评分大赛个人源码库。包含XGboost模型调参，特征筛选，训练等方案。同时包含stacking模型融合方案
  ☆27Updated 4 years ago
• chenglu66 / data-analysis
  基于自构造函数的特征提取评分项目（缺失值处理，单变量相关性分析，特征评分，降维）
  ☆15Updated 7 years ago
• ZhangXinNan / IntelligentRiskControl
  《智能风控——原理、算法与工程实践》
  ☆28Updated 3 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆69Updated last month
• Clarksh / python_data_analyse
  python常用数据分析代码和技巧
  ☆29Updated 5 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 5 years ago
• librauee / IFLY
  科大讯飞AI开发者大赛 基于用户画像的商品推荐挑战赛 Baseline
  ☆14Updated 3 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆22Updated 5 years ago
• wbbhcb / hefei_ecg
  ☆21Updated 4 years ago
• salmansust / TimeSeries-CNN
  In this project I developed Convolutional Neural Network models for univariate , multivariate , multi-step time series forecasting.
  ☆15Updated 5 years ago
• rickyxume / TianChi_RecSys_AntiSpam
  第三届 Apache Flink 极客挑战赛暨AAIG CUP——电商推荐“抱大腿”攻击识别亚军代码方案
  ☆28Updated 3 years ago
• wenhan123 / ML-Python-
  主要是在学习李航的统计学习方法和周志华的机器学习西瓜书的笔记和相关的代码实现
  ☆31Updated 5 years ago