Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for ...

The current STreeD Framework implements a broad set of such optimization tasks, from group fairness constraints to regression. For an explanation ... or with the misclassification cost matrix, and the ...

5. Poisson Regression: Designed for count data, modeling the frequency of events over a fixed period or space. Other types include Ridge, Lasso, and Elastic Net regression, which are used for ...