| Name | say-week1-knn JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | Week1 program - using scikit-learn KNeighborsClassifier |
| upload_time | 2024-09-09 04:41:17 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
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| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
# knn [K-Nearest Neighbor Classifier]
Weekly Programming no. #1: KNN
- Using `sklearn.neighbors.KNeighborsClassifier`
### 프로그램 동작 방식
- [ ] 학습된 모델이 없는 상태에서 출발
- [ ] 길이 `length`, 무게 `weight` 데이터를 입력 > 프로그램이 예측 값을 출력
- [ ] 예측값 출력 후 프롬프트를 통해 사용자가 예측값의 정답 유무를 다시 입력
- [ ] 위 과정을 반복하며 모델을 최적화
## Usage
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