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Jeong-Yoon Lee's Projects

libfm icon libfm

Library for factorization machines

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

loan_default_prediction icon loan_default_prediction

This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"

microsoft-tdsp icon microsoft-tdsp

Repository for Microsoft Team Data Science Process containing documents and scripts

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

py_ml_utils icon py_ml_utils

Some small utility modules to help with pandas, numpy and sklearn usage in other projects

pygbm icon pygbm

Experimental Gradient Boosting Machines in Python with numba.

radyant icon radyant

Interactive data analytics using R and Shiny

rosetta icon rosetta

Tools, wrappers, etc... for data science with a concentration on text processing

seizure-detection icon seizure-detection

Kaggle competition winning submission for the UPenn and Mayo Clinic's Seizure Detection Challenge

setup icon setup

AWS EC2 setup files for Startup Engineering MOOC.

sleepcoacher icon sleepcoacher

SleepCoacher recommendation engine, reference implementation for paper at http://jeffhuang.com/Final_SleepCoacher_UIST16.pdf

talkingdata icon talkingdata

Framework for the TalkingData competition at Kaggle

the-state-of-ai icon the-state-of-ai

This repository compiles latest discussions and resources around the state of artificial intelligence (AI). Any contributions are welcome.

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