Life Expectancy Prediction Using Machine Learning
Understand the theory and intuition behind linear regression model
Preform exploratory data analysis
Develop, train, and evaluate linear regression model
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
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:
Task #1: Understand the Problem Statement and Business Case
Task #2: Import Datasets and Libraries
Task #3: Perform Data Visualization and Exploratory Data Analysis
Task #4: Create Training and Testing Dataset
Task #5: Understand the Theory and Intuition Behind Linear Regression Model
Task #6: Train a Linear Regression Model in Scikit-Learn
Task #7: Evaluate Trained Model Performance
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