Linear Regression and Multiple Linear Regression in Julia
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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.
Syllabus
- Project Overview
- By the end of this project you will learn how to use Julia for linear regression and multiple linear regression.
Taught by
Vinita Silaparasetty
Related Courses
Advanced Statistics for Data ScienceJohns Hopkins University via Coursera Analizar e incrementar - Parte 1
Tecnológico de Monterrey via Coursera The Analytics Edge
Massachusetts Institute of Technology via edX Aprendizaje de máquinas
Universidad Nacional Autónoma de México via Coursera Big Data Analytics
University of Adelaide via edX