If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

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 ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

The NHL preseason is close to finished, and the regular season is approaching on Oct. 7. Last season, there were plenty of opportunities for regression, given what occurred during the 2023-24 season.

The goal of this regression-centric space is to tell fantasy football folks which of their borderline fantasy options are running particularly hot or particularly cold, to use a little technical ...

Linear actuators are a great help when you’re moving something along a single axis, but with so many options, how do you decide? [Jeremy Fielding] walks us through some of the high level tradeoffs of ...

Abstract: This article proposes an algorithm for solving multivariate regression and classification problems using piecewise linear predictors over a polyhedral partition of the feature space. The ...

I asked and answered a question about Regression in Stack Overflow. Here is a summary and question. I ran several regressions using pipeline and gridsearch. The winning regression was polynomial ridge ...