Linear Regression and Multiple Linear Regression in Julia

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

Learn about linear regression and multiple linear regression.

How to do distribution analysis and correlation analysis

How to calculate the error

Clock1 hour 30 minutes
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

This guided project is for those who want to learn how to use Julia for linear regression and multiple linear regression. You will learn what linear regression is, how to build linear regression models in Julia and how to test the performance of your model. Special Features: 1) Work with real-world stock market data. 2) Best practices and tips are provided. 3) You get a copy of the jupyter notebook that you create which acts as a handy reference guide. Please note that the version of Julia used is 1.0.4 Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Data ScienceLinear RegressionMachine Learningjulia

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. Analyze data to check suitability for linear regression.

  2. Build a linear regression model in Julia

  3. Make predictions using linear regression model

  4. Test the performance of a model in Julia

  5. Calculate the error

  6. Cross-validation

  7. Multiple linear regression

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

More questions? Visit the Learner Help Center.