open:feature-engineering

Feature Engineering

Feature Engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself

더 나은 모델 알고리즘 성능을 위해 Raw Data로 부터 Feature를 만들거나 재구성하는 과정


  • open/feature-engineering.txt
  • 마지막으로 수정됨: 2020/11/16 14:05
  • 저자 127.0.0.1