SHAP 값을 사용하여 machine learning 모델 작동 방식 설명
출처: https://towardsdatascience.com/using-shap-values-to-explain-how-your-machine-learning-model-works-732b3f40e137
최근 포스트
Feature selection 알고리즘인 Boruta algorithm에 대한 설명
출처: https://towardsdatascience.com/boruta-explained-the-way-i-wish-someone-explained-it-to-me-4489d70e154a
Class imbalance를 다루기 위해 SMOTE 그만 사용하기
Stop Using SMOTE to Treat Class Imbalance
[논문] Deep Feature Synthesis: Towards Automating Data Science Endeavors (2015)
출처 : https://dm-gatech.github.io/CS8803-Fall2018-DML-Papers/deep-feature-synthesis.pdf
Automated Feature Engineering in Python
[공지사항] “출처: https://towardsdatascience.com/automated-feature-engineering-in-python-99baf11cc219”