A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

2018年全国大学生计算机应用能力大赛之住房月租金预测第一名代码

daky's X11 Hotkey Daemon

Reuse Kaggle code

企业经营退出风险预测，二分类问题

Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference

Kaggle Bosch Production Line Performance, NO.74/top 6% (post competition analysis) 生產線分析、前 6 % ( 賽後分析 )

Code used in Kaggle's Santander Product Recommendation competition.

Kaggle Property Market competition solution

Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn

A dashboard that supports fleet managers and decision makers to gain insights into their automotive fleets and optimize them

A python 2 container runtime for processing data science tasks and workloads (used by https://github.com/jay-johnson/sci-pype for distributed analysis)

Porto Seguro Safe Driver Prediction

TinyWM written in Go with burntsushi/xgb

数据挖掘比赛，DataCastle，精品旅行服务成单预测,

The main of this solution is to identify the churn customers and to find important features for identifying churn customer.

xgb gpu support binaries for Winx64

Convert XGB Classifier Rules to Dart Code

Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.

Repo contains data and jupyter notebooks used for the House Price Prediction Competition on Kaggle. Different models explored.