Using PyCaret to Predict Apple Stock Prices

Utilizando machine learning para prever o preço das ações da Petrobras com a biblioteca PyCaret

Analysis of MLB pitchers and what factors influence a pitcher's FIP. Bayesian Ridge Regression is used to determine which covariates are most important. The model is fit using both hand written MCMC algorithms and Stan.

Repository for my ENSF 611 (machine learning) final project.

Time Series Prediction on COVID-19 using Support Vector Machine (SVM), Bayesian Ridge, and Polynomial Regression

Bayesian hierarchical model analyzing Colombia's 2022 Saber 11 exam. Combines multilevel regression, spatial random effects, and Ridge/Lasso priors. Key score predictors: living conditions, maternal education, resources, gender, and ethnicity. Spatial clustering reveals territorial inequalities informing education policy.

The goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines. Specifically, you'll be predicting two probabilities: one for h1n1_vaccine and one for seasonal_vaccine. Each row in the dataset represents one person who responded to the National 2009 H1N1 Flu Survey. For details please visit the link: https://ww…