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corr_prediction_arima_lstm_hybrid

We applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

dataanalysisbypython

ensemble-of-sarima-random-forests-and-gradient-boosting-trees

In this Project I use the Kaggle Bike sharing dataset to predict the sales of bike given a Multivariate Time series. I model the multivariate data using ensemble of Random Forests and Gradient Boosted trees. After that the residuals of the model are fit with an ARMA/ARIMA/SARIMA model and later forecasted. The residuals are later added back to the predicted values

ensemble-time-series

Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) layer and trained using Genetic Algorithms

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

tianchi-diabetes

天池精准医疗大赛——人工智能辅助糖尿病遗传风险预测 第一赛季

tianchi-diabetes-top12

tianchi_diabetes_prediction

The solution about first season of this game

tsensemble

Code for the SGAI2017 submission "Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting"

wechatmomentexport

Xposed module to export WeChat moments data to JSON(微信朋友圈数据导出Xposed模块)

wechatmomentstat-android

Get your WeChat Moment statistics and export Moments to JSON. 微信朋友圈数据统计、导出工具