Coursera Project Network
Build and deploy a stroke prediction model using R
Coursera Project Network

Build and deploy a stroke prediction model using R

5,720 already enrolled

Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level

Recommended experience

7-9 hours
Complete at your own pace
Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level

Recommended experience

7-9 hours
Complete at your own pace

Objectives

  • Explore the dataset to identify the most important patient and/or clinical characteristics

  • Build a well-validated stroke prediction model for clinical use

  • Deploy the model to enhance the organization's clinical decision-making

Details to know

Shareable work sample

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Taught in English
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About this Project

Project plan

This project requires you to independently complete the following steps:

  1. Import data and data preprocessing

  2. Build prediction models

  3. Evaluate and select prediction models

  4. Deploy the prediction model

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