Life Expectancy Prediction Using Machine Learning

提供方
Coursera Project Network
在此指導項目中,您將:

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
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Artificial Intelligence (AI)
  • Data Analysis
  • Machine Learning
  • regression models

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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