Projects with this topic
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This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.
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Exercícios de programação da disciplina MAC0460 - Introdução ao Aprendizado de Máquina ministrada pela professora Nina Sumiko Tomita Hirata no Instituto de Matemática e Estatística da Universidade de São Paulo no primeiro semestre de 2021.
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Machine Learning - Regression Problem
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Consists of discrete event simulation, A queue manager with a buffer and linear regression. Some statistics are printed out and analysed or graphed.
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