Covid-19 Cases Forecasting Using Fbprophet

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand the theory and intuition behind Facebook Prophet time series forecasting tool

Build and train time series forecasting model using Facebook prophet

Assess trained model performance

Clock1.5 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Predictive models attempt at forecasting future value based on historical data. In this hands-on project, we will analyze the transmission of Covid-19 virus across the globe and train a time-series model (fbprophet) to get the projection of corona virus-related cases in the United States.

Skills you will develop

Data ScienceArtificial Intelligence (AI)visualizationMachine LearningPython Programming

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:

  1. Task 1: Understand the Problem Statement and Business Case

  2. Task 2: Import Libraries and datasets

  3. Task 3: Perform Exploratory Data Analysis

  4. Task 4: Perform Data Visualization - Part #1

  5. Task 5: Perform Data Visualization - Part #2

  6. Task 6: Prepare the data for Facebook Prophet

  7. Task 7: Develop Time-Series Forecasting Model using Facebook Prophet

  8. Task 8: Assess Trained Model Performance

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

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.