# 데이터 사이언티스트는 시계열 예측을 위해 어떤 라이브러리를 쓰나요?

> Clean Markdown view of GeekNews topic #7771. Use the original source for factual precision when an external source URL is present.

## Metadata

- GeekNews HTML: [https://news.hada.io/topic?id=7771](https://news.hada.io/topic?id=7771)
- GeekNews Markdown: [https://news.hada.io/topic/7771.md](https://news.hada.io/topic/7771.md)
- Type: news
- Author: [xguru](https://news.hada.io/@xguru)
- Published: 2022-11-09T10:33:45+09:00
- Updated: 2022-11-09T10:33:45+09:00
- Original source: [news.ycombinator.com](https://news.ycombinator.com/item?id=33447976)
- Points: 11
- Comments: 0

## Topic Body

"저는 주로 Prophet(FBProphet)을 쓰는데 다른 분들은 뭐 쓰는지 궁긍합니다." 라는 질문에 대한 HN의 답변들   
- Darts in Python   
- R의 Forecast 패키지가 유용  
- XGboost, LGBM, pmdarima, stanpy  
- statsmodels   
- Prophet, ARIMA, Exponential Moving Average, Kalman/Satespace Model   
- tsfresh, Sktime   
- 라이브러리 보다 모델에 대해 먼저 고민해보는건 어떨까?   
  - 시계열 모델에 관한책 추천 링크 [Books for self-studying time series analysis?](https://stats.stackexchange.com/questions/20514/books-for-self-studying-time-series-analysis)

## Comments



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