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https://github.com/moindalvs/forecasting_cocacola_prices.
Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
https://github.com/moindalvs/forecasting_cocacola_prices.
arima data-science double-exponential-smoothing forecasting holt-winters-forecasting sarima-models sarimax simple-exponential-smoothing time-series-analysis time-series-forecasting time-series-prediction triple-exponential-smoothing
Last synced: about 11 hours ago
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Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
- Host: GitHub
- URL: https://github.com/moindalvs/forecasting_cocacola_prices.
- Owner: MoinDalvs
- Created: 2022-07-16T07:38:16.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-08-27T15:19:38.000Z (about 2 years ago)
- Last Synced: 2024-01-29T16:07:26.059Z (10 months ago)
- Topics: arima, data-science, double-exponential-smoothing, forecasting, holt-winters-forecasting, sarima-models, sarimax, simple-exponential-smoothing, time-series-analysis, time-series-forecasting, time-series-prediction, triple-exponential-smoothing
- Language: Jupyter Notebook
- Homepage:
- Size: 6.35 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0