Kwang Myung Yu's repositories
Kaggle-Data-Science-Study
Kaggle competition study repository
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-anomaly-detection-1
A complete list of papers on anomaly detection.
Awesome-Machine-learning-Deep-learning-Deployment
Awesome Machine learning Deep learning Deployment
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
Data-Analysis
personal study on data science
Data-Science--Cheat-Sheet
Cheat Sheets
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
deep_learning_study
A curated list of Deep Learning
Feature-Engineering-on-CGM-TimeSeries
Feature Extraction, Validation, Verification and PCA on CGM time series data signifying glucose levels of a patient on meal intakes.
GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
handson-ml2
핸즈온 머신러닝 2/E의 주피터 노트북
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Health_Index
Transformer health index analysis using machine learning
KaggleStruggle
Kaggle Struggle
Machine-learning-tutorials
Machine Learning Tutorials by KMYU
naver_news_search_scraper
검색어 기준으로 네이버뉴스와 댓글을 수집하는 파이썬 코드
OpenDartReader
Open DART Reader
pycon-2018-tutorial
Using pandas for Better (and Worse) Data Science
StockMarketGAN
Stock Market Prediction Using Unsupervised Features
Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data
xgboost_study
study materials for xgboost