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This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
In this project, I utilize the Insurance US dataset to predict health insurance costs based on various input features, enabling insights into the factors influencing insurance charges.
Application of predictive models on a real data set of the obstetric medicine field and methods of interpretability on the previously fitted XGBoost model.
Mobile Air Quality Monitoring System (MAQMS) - An IoT Network of Air Quality Monitoring stations connectes to Azure cloud to provide insights and predictive models of air quality in Mexico City.
Our Economic Forecasting Model leverages Genetic Algorithms and Random Forests to provide farmers, policymakers, and businesses with cutting-edge insights for informed, profitable decisions in the ever-changing world of agriculture.
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.
Statistical analysis of animal shelter intakes and outcomes from Dallas Animal Services, and a fullstack app for predicting animal outcomes based on intake variables.
Trabajo de Fin de Grado del Grado de Ingeniería Informática, realizado en la Escuela Técnica Superior de Ingeniería Informática de la Universidad Politécnica de Madrid.
This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.