PENGZhaoqing / TimeSeriesPrediction
天池智慧交通预测挑战赛解决方案
☆500Updated 7 years ago
Alternatives and similar repositories for TimeSeriesPrediction
Users that are interested in TimeSeriesPrediction are comparing it to the libraries listed below
Sorting:
- 基于Keras的LSTM多变量时间序列预测☆177Updated 7 years ago
- 2019天池大数据竞赛杭州市地铁流量流入流出预测 成绩27/2319 比赛地址https://tianchi.aliyun.com/competition/entrance/231708/introduction?spm=5176.12281957.1004.6.38b0…☆45Updated 6 years ago
- 天池全球城市计算AI挑战赛-地铁人流量预测 A榜22/2319☆133Updated 6 years ago
- [译]tsfresh特征提取工具可提取的特征☆95Updated 6 years ago
- Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN☆710Updated 5 years ago
- 阿里天池智慧交通预测挑战赛-Top7 /1716队☆13Updated 6 years ago
- DataCastle国能日新功率预测题 rank21解决方案☆41Updated 5 years ago
- 天池全球城市计算AI挑战赛:A榜单模型12.28, B榜单模型12.53,多模型融合11.74(Top 3), C榜官方结果17.08(新人赛验证C榜可通过乘个衰减提升很多到12.00,A榜也有效果到11.88)☆40Updated 6 years ago
- a model for traffic flow forecast☆29Updated 6 years ago
- 天池智慧交通预测挑战赛 - 比赛经历分享☆16Updated 7 years ago
- TensorFlow Probability;Time series model☆126Updated 3 years ago
- 时间序列理论和案例实践☆71Updated 7 years ago
- 初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle☆177Updated 6 years ago
- ☆84Updated 7 years ago
- 天池DCIC2020船只轨迹数据挖掘比赛算法阶段Rank 3解决方案:☆110Updated 2 years ago
- 使用sklearn做特征工程☆172Updated 6 years ago
- ☆8Updated 6 years ago
- Codes for time series forecast☆146Updated 4 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆258Updated 7 years ago
- Time series prediction using LSTM classifier☆282Updated 8 years ago
- ☆101Updated 6 years ago
- cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attentio…☆208Updated 4 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☆97Updated 4 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆79Updated 6 years ago
- Multidimensional Time Series Prediction by using LSTM☆56Updated 5 years ago
- 异常检测☆155Updated 6 years ago
- 城市交通流量时空预测---山东省数据应用(青岛)创新创业大赛。http://sdac.qingdao.gov.cn/common/cmptIndex.html☆35Updated 5 years ago
- python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification ar…☆734Updated 5 years ago
- XGBoost 中文文档☆570Updated last year
- 包括决策树和随机森林进行离职人员预测,Xgboost和lightGBM的应用☆285Updated 5 years ago