Pinned Repositories
cdc-analysis
Project of analysis for credit card transactions, e.g. predictions of overdue risk, clustering of customer value. Real financial data and different machine learning methods applied.
eastmoney-screenshot
Extract stock market data from EastMoney client screenshots and its cropped images
easy-quant
High-level stock quantitative toolkit based on open stock data platforms (e.g. Tushare). It uses mysql to store market data and supports custom quantitative strategies. It provides rich visualization functions and mathematical methods.
igraph-on-netdata
Practice on igraph library to test its amazing visualization effect with relational network datasets.
konhay.github.io
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
sector-attention-index
Specifically built for the research proposal: Estimating sector attention index with deep learning methods : example of Chinese stock market, Jan. 4, 2024.
self-service-modeler
Self-service modeling analysis tool based on R language and big data. It integrates SparkR, Rserve, and Mlib machine learning libraries
weibo-spider
Crawler program for popular Chinese social media Sina Weibo (mobile site). It is often used to build unstructured and image datasets.
konhay's Repositories
konhay/easy-quant
High-level stock quantitative toolkit based on open stock data platforms (e.g. Tushare). It uses mysql to store market data and supports custom quantitative strategies. It provides rich visualization functions and mathematical methods.
konhay/sector-attention-index
Specifically built for the research proposal: Estimating sector attention index with deep learning methods : example of Chinese stock market, Jan. 4, 2024.
konhay/self-service-modeler
Self-service modeling analysis tool based on R language and big data. It integrates SparkR, Rserve, and Mlib machine learning libraries
konhay/cdc-analysis
Project of analysis for credit card transactions, e.g. predictions of overdue risk, clustering of customer value. Real financial data and different machine learning methods applied.
konhay/eastmoney-screenshot
Extract stock market data from EastMoney client screenshots and its cropped images
konhay/igraph-on-netdata
Practice on igraph library to test its amazing visualization effect with relational network datasets.
konhay/konhay.github.io
konhay/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
konhay/weibo-spider
Crawler program for popular Chinese social media Sina Weibo (mobile site). It is often used to build unstructured and image datasets.