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GitHub / advaitsave / Introduction-to-Time-Series-forecasting-Python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/advaitsave%2FIntroduction-to-Time-Series-forecasting-Python
PURL: pkg:github/advaitsave/Introduction-to-Time-Series-forecasting-Python

Stars: 323
Forks: 138
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 2.02 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: 8 months ago
Pushed at: almost 7 years ago
Last synced at: 8 months ago

Topics: arima, arma, dickey-fuller, forecast-evaluation, forecasting, preprocessing, prophet-model, python, sarima, seasonality, series-forecasting-python, series-preprocessing, stationarity, time-series, time-series-forecasting

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