You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
CropCareAI is a web application that uses artificial intelligence to identify and diagnose plant diseases. It's designed to help plant enthusiasts, farmers, and researchers by providing quick and accurate disease detection through image analysis.
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.
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.