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This repository includes code for a predictive model I created which classifies counties that Trump won and a data exploration tool that plots the Trump county score along with a number of demographic variables over a county-level map of the US.
Data analysis and modelling of a 4.0 greenhouses through automatic time series forecasting models. The validation has been computed in two scenarios, ex ante and ex post. As a case study an alert system for broccoli crops is presented.
This is a group project on predicting painting prices that were sold from 1764 to 1780. Based on our analysis, we identify undervalued/overvalued paintings in the dataset.
The goal of this project is to create a machine learning model that can accurately predict the likelihood and intensity of tornadic activity, based on the real-time data collected during storm chases, including but not limited to, chases I'm physically present for and participate in.