ThomasCai / tsfresh-feature-translation
[译]tsfresh特征提取工具可提取的特征
☆51Updated 4 years ago
Related projects: ⓘ
- AutoML☆38Updated 5 years ago
- Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition / Kaggle M5沃尔玛销量时间序列预测竞赛 银牌方案(Top 2%)☆41Updated 3 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆62Updated 5 years ago
- 一种时间序列突变检验算法☆17Updated 7 years ago
- [译]tsfresh特征提取工具可提取的特征☆94Updated 5 years ago
- LR / SVM / XGBoost / RandomForest etc.☆28Updated 4 years ago
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 3 years ago
- 对数据框中的某个变量进行有监督的分箱操作☆63Updated 3 years ago
- 《智能风控——原理、算法与工程实践》☆24Updated 3 years ago
- 西南财经大学“新网银行杯”数据科学竞赛 2/721☆31Updated 5 years ago
- 时间序列理论和案例实践☆67Updated 6 years ago
- 分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression,并输出相应的报告☆19Updated last year
- MXNET之GluonTS学习手册☆25Updated 3 years ago
- 在Kaggle比赛中的Featuretools指南☆16Updated 6 years ago
- ARMA, ARIMA, ARCH model☆62Updated 3 years ago
- 关于评分卡的基本流程☆67Updated 5 years ago
- risk_model☆23Updated 2 years ago
- TensorFlow Probability;Time series model☆120Updated 2 years ago
- BaseWavenet/Wavenet+ResidualBlock☆16Updated 5 years ago
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.☆22Updated 5 years ago
- 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☆57Updated 5 years ago
- 天池“资金流入流出预测——挑战baseline”的解决方案,线上效果143.5☆99Updated 4 years ago
- ☆83Updated 6 years ago
- 组合策略自动挖掘工具包,集成决策树规则挖掘、单变量规则挖掘、策略挖掘报告输 出等功能,简单实用,风控人必备技能☆27Updated 11 months ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- JDD-2017 京东金融大数据竞赛-销量预测-15th/889队☆35Updated 6 years ago
- 融360智能金融算法大赛——拒绝推断☆24Updated 5 years ago
- 常用的特征选择方法☆68Updated 2 years ago
- 参赛者需要根据给出的基金净值、基金业绩比较基准、对应指数行情、基金间相关性等数据,构建模型、算法进行训练。☆37Updated 5 years ago
- A python package for feature selection in python☆50Updated 3 years ago