Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 |
8 | 9 | 10 | 11 | 12 | 13 | 14 |
15 | 16 | 17 | 18 | 19 | 20 | 21 |
22 | 23 | 24 | 25 | 26 | 27 | 28 |
29 | 30 |
Tags
- 큐
- TEAM EDA
- 3줄 논문
- 튜토리얼
- Segmentation
- DFS
- 추천시스템
- Image Segmentation
- eda
- 프로그래머스
- 협업필터링
- 나는리뷰어다
- MySQL
- 알고리즘
- Recsys-KR
- 한빛미디어
- 코딩테스트
- 엘리스
- pytorch
- TEAM-EDA
- DilatedNet
- 파이썬
- hackerrank
- Semantic Segmentation
- Object Detection
- 나는 리뷰어다
- 입문
- Python
- Machine Learning Advanced
- 스택
Archives
- Today
- Total
목록2019/09/12 (1)
TEAM EDA
Chris의 Feature Engineering 팁
원문 : https://www.kaggle.com/c/ieee-fraud-detection/discussion/108575#latest-624919 IEEE-CIS Fraud Detection Can you detect fraud from customer transactions? www.kaggle.com Feature Engineering Techniques Engineering features is key to improving your LB score. Below are some ideas on how to engineer new features. Create a new feature and then evaluate it with a local validation scheme to see if it..
EDA Study/캐글
2019. 9. 12. 23:32