Compare time series predictions of COVID-19 deaths

4.2
stars

30 ratings

Offered By
In this Guided Project, you will:
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

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.

Skills you will develop

  • Time Series Forecasting

  • Machine Learning

  • Feature Engineering

  • Python Programming

  • Time Series Models

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM COMPARE TIME SERIES PREDICTIONS OF COVID-19 DEATHS

View all reviews

Frequently Asked Questions