Covid-19 Cases Forecasting Using Fbprophet

Offered By
Coursera Project Network
In this Free 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

Showcase this hands-on experience in an interview

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.

Requirements

B​asic python programming and mathematics

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

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