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By the end of this project, you will learn how to perform the entire time series analysis workflow for the daily COVID-19 deaths. This workflow includes the following steps: how to examine time series data, prepare the data for analysis, train different models and test their performance, and finally use the models to forecast into the future. You will learn how to visualize data using the matplotlib library, extract features from a time series data set, and perform data splitting and normalization. You will create time series analysis models using the python programming language. You will create and train four time series models: SARIMAX, Facebook prophet, neural networks and XGBOOST....

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1 - 8 von 8 Bewertungen für Compare time series predictions of COVID-19 deaths

von Brian U

15. Nov. 2020

von Celina S

16. Juni 2021

von Sebastian D A

7. März 2021

von Yanan Y

8. Apr. 2021

von Richard A M

23. Okt. 2020

von Umesh A

2. Okt. 2022

von Julie F

5. Feb. 2022

von Richard A

19. Mai 2022