Compare time series predictions of COVID-19 deaths
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.
Time Series Forecasting
Time Series Models
由 SA 提供2021年3月6日
Very complete for a small 2 hour project! But Please write some parts of the code on the next project, because the pace is too fast, and the notebooks are empty!