Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be ...

Key Laboratory of Quantum Materials and Devices of Ministry of Education, School of Physics, Southeast University, Nanjing 211189, China ...

This paper proposes to estimate the magnitudes of power imbalances based on multiple linear regression. It considers several other system and environmental factors and identifies those factors ...

PyLops is an open-source Python library focused on providing a backend-agnostic, idiomatic, matrix-free library of linear operators and related computations. It is inspired by the iconic MATLAB Spot – ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

Matrix3D utilises a multimodal diffusion transformer (DiT) The model was developed in partnership with Nanjing University and HKUST It is an open-source model available for download on GitHub ...

Abstract: This article uses multiple statistical analysis methods to verify the correlation between variables through the connection of multiple linear regression equations. Through the analysis of ...