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.

daky's X11 Hotkey Daemon

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

This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.

Reuse Kaggle code

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

企业经营退出风险预测，二分类问题

Gocaudices is a dwmblocks alternative written in GO in less than 100 SLOC using xgb.

Utilizing AutoXGB for Credit Card Financial Fraud Detection

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

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

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

Code used in Kaggle's Santander Product Recommendation competition.

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.

Kaggle Property Market competition solution

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

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.