Abstract: A new method is developed to adjust the forecast in case of a small number of observations or in the absence of standard patterns which can be detected by classical machine learning and ...

Explore the statsmodels library, a tool that allows data analysts to perform linear regression with familiar R syntax and get detailed results. The power of statsmodels in statistical analysis Python ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Add a description, image, and links to the generalised-linear-models topic page so that developers can more easily learn about it.

Abstract: Coding regardless programming languages is an expected skill evaluated in computing courses [1]. The majority of programming research has been on student challenges and mistakes that ...