When we make the mochine learning model, we can progress with the following steps.
1. what to do and question
2. gather data ( included clean data )
3. create features
4. normalize data
5. sample data ( seperated test data )
6. tranning data
7. create model
8. evaluate model
9. deploy model
'데이터분석 > ml' 카테고리의 다른 글
머신 적용 분야 및 알고리즘 (0) | 2021.01.11 |
---|---|
Anomaly Detection (0) | 2020.06.19 |
MS 애저 머신러닝 알고리즘 선택 (0) | 2020.05.28 |
Deep learning (0) | 2018.07.03 |
ml 기초 (0) | 2017.08.07 |