We built and compared three Bayesian regression models using GLMs to predict car prices based on a rich dataset of 205 cars. We used brand indicators (BMW, Audi, Toyota), technical specs, and fuel type as predictors — all modeled using Bayesian methods with informative priors and evaluated via Bayes Factors and WAIC. Read More...

A strategic data analysis project comparing two bakery branches to recommend the optimal one for acquisition using descriptive statistics, anomaly detection, and time-series forecasting. Read More...