본 프로젝트는 한국은행의 대내외 거시 및 금융 데이터를 활용하여 인플레이션 전망 모형을 개발한 사례입니다. 기존 회귀 및 시계열 기반 모형의 한계를 보완하기 위해 선형 회귀 모델과 트리 기반 머신러닝(ML) 알고리즘을 결합한 앙상블 모형을 설계하여, 6개월 후 인플레이션 변동을 예측하는 데 초점을 맞추었습니다.
active 2025-01-02 → 2025-01-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-02 to 2025-01-02. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| youjin00 | 5 | 5 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.