Jeong-Yoon Lee

Kaggler. Code for Kaggle Data Science Competitions

data-science-process-management. Resources for Data Science Process management

kaggler-template. Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.

data-science-career-development. resources for career development in data science

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

adversarial-learning-notes. Notes for adversarial learning

dotfiles. dot files and setup scripts

cat-in-the-dat. 캐글 컴피티션 코드 정리 팁

av-for-concept-drift-in-automl. Code for Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems

kaggle-2014-criteo. C++

kddcup2019track2. Jupyter Notebook

masters-caesars-customer-gaming-prediction. Python

cheatsheet.

kddcup-2015. TeX

blockchain-notes.

talkingdata. Framework for the TalkingData competition at Kaggle

python-machine-learning-book. The "Python Machine Learning" book code repository and info resource

phd_thesis_markdown. Template for writing a PhD thesis in Markdown

causaldl. Python

blog-archive. Jupyter Notebook

AutoGBT. AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

deeplearning. Jupyter Notebook

data-science-glossary.

kaggle_diabetic_retinopathy. Fifth place solution of the Kaggle Diabetic Retinopathy competition.

bayesian-analysis-notes.

quora-question-pairs. Python

kddcup2019track1. Python