Multinomial logistic regression If the categories in the dependent variables are not ordinal, we can use multinomial logistic regression. We will then need to choose a reference category. In our ...

Foundational work in multi-target regression has also demonstrated the benefits of incorporating target variables as additional inputs, thereby mitigating discrepancies between training and ...

Accurate forecasting of agricultural commodity prices is critical for economic stability and strategic decision-making, yet remains challenging owing to nonlinear dynamics and multifactorial ...

This repository contains a Python project I developed for the Optimization exam in the AI Master Course I'm attending. The aim of the project is to provide an implementation of the BFGS algorithm and ...

In this letter, we obtain the optimal signal-to-noise ratio regions for the adaptive modulation and coding (AMC) over a set of correlated subcarriers. We use lo ...

PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution ...