Linear Regression and Multiple Linear Regression in Julia

4.2
13 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

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

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.

您要培養的技能

  • Data Science
  • Linear Regression
  • Machine Learning
  • julia

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. 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

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

常見問題

常見問題

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