all AI news
Multicollinearity: Problem, or Not?
Nov. 19, 2022, 12:40 a.m. | Rob Taylor
Towards Data Science - Medium towardsdatascience.com
A brief guide on multicollinearity and how it affects multiple regression models.
Photo by kylie De Guia on UnsplashYou may have vague recollections from your university statistics courses that multicollinearity is a problem for multiple regression models. But just how problematic is multicollinearity? Well, like many topics in statistics, the answer isn’t entirely straightforward and depends on what you’re wanting to do with your model.
In this post, I’ll step through some of the challenges that multicollinearity presents in …
data science math multicollinearity multivariate-regression statistics
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Stagista Technical Data Engineer
@ Hager Group | BRESCIA, IT
Data Analytics - SAS, SQL - Associate
@ JPMorgan Chase & Co. | Mumbai, Maharashtra, India