Life Expectancy Prediction Using Machine Learning

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In this Guided Project, you will:

Understand the theory and intuition behind linear regression model

Preform exploratory data analysis

Develop, train, and evaluate linear regression model

1.5 hours
Beginner
No download needed
Split-screen video
English
Desktop 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 Analysis

  • Machine Learning

  • regression 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

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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.