Linear Regression and Multiple Linear Regression in Julia

4.2
별점
13개의 평가
제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

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
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

  • Data Science
  • Linear Regression
  • Machine Learning
  • julia

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

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