Student Mark Prediction is a machine learning web application that predicts students' exam scores based on various demographic and academic features. Built with Streamlit and powered by a linear ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Nineteen new homes will be coming to University Heights after a single family home is renovated and turned into apartments. Social media host and reporter Jake Gotta has the story. Nineteen new homes ...
Week 2 – AICTE Internship Milestone (GitHub Repo) This repository tracks Week 2 work for the AICTE internship on the AI/ML track. You'll upload this repo link to the LMS "Week 2" submission. Project ...
ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...
In 2024, the Oregon Ducks had one of the best football seasons in program history, going 13-0 in the regular season with a win in the Big Ten championship as first-year members of the league. While ...
Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
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