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学生对 Coursera Project Network 提供的 Compare time series predictions of COVID-19 deaths 的评价和反馈

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课程概述

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 - Compare time series predictions of COVID-19 deaths 的 8 个评论(共 8 个)

创建者 Brian U

Nov 15, 2020

创建者 Celina S

Jun 16, 2021

创建者 Sebastian D A

Mar 7, 2021

创建者 Yanan Y

Apr 8, 2021

创建者 Richard A M

Oct 23, 2020

创建者 Umesh A

Oct 2, 2022

创建者 Julie F

Feb 5, 2022

创建者 Richard A

May 19, 2022