Linear Regression and Multiple Linear Regression in Julia

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estrellas
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Coursera Project Network
En este Proyecto guiado, tú:

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
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. 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.

Habilidades que desarrollarás

Data ScienceLinear RegressionMachine Learningjulia

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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