Life Expectancy Prediction Using Machine Learning

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

U​nderstand the theory and intuition behind linear regression model

P​reform exploratory data analysis

Develop, train, and evaluate linear regression model

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

In this hands-on project, we will train a Linear Regression model to predict life expectancy. The dataset was initially obtained from the World Health Organization (WHO) and United Nations Websites. Data contains features such as year, status, life expectancy, adult mortality, infant deaths, percentage of expenditure, and alcohol consumption.

Skills you will develop

Artificial Intelligence (AI)Data AnalysisMachine Learningregression 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:

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

  2. Task #2: Import Datasets and Libraries

  3. Task #3: Perform Data Visualization and Exploratory Data Analysis

  4. Task #4: Create Training and Testing Dataset

  5. Task #5: Understand the Theory and Intuition Behind Linear Regression Model

  6. Task #6: Train a Linear Regression Model in Scikit-Learn

  7. Task #7: Evaluate 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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