Detailed exploratory and predictive analysis of Airbnb data using R for data manipulation and model building.
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Updated
Jan 3, 2024
Detailed exploratory and predictive analysis of Airbnb data using R for data manipulation and model building.
Sample data of Indian Domestic flights operated between march and june of 2019 was explored. Machine learning models that predicts the cost of the ticket was built.
This project was in collaboration with University Hospital Birmingham
A GAUSS wrapper of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
Trabajo Especialización 2018 (ALR)
Research project to measure the firm Expected Investment Growth (EIG) based on a combination of machine learning tools and text regression.
Understand what influences bike rental usage. 🚲
A web application implementing models to predict ICU admission for COVID-19 patients based on clinical, laboratory and imaging parameters
Learners for the `mlexperiments` R 📦
Multivariate linear regression, CART and Random Forest dataset analysis
Leap motion image recognition gesture checker GUI(C#) for developing Hand bone angles, Positions, and recognizable gestures(fuzzy logic) implementable in Virtual/Augmented reality apps.
Scripts used to prepare the "Pathogen invasion history elucidates contemporary host pathogen dynamics" publication by Vredenburg et al. (2019)
👥 Análise de dados relacionada a predição de prejuízo funcional em sujeitos com transtornos de humor.
we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.
This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.
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