In this external project, I will demonstrate image analysis using deep learning for predicting soybean disease.
Predict wheat variety accurately using multiple features employing two popular ensemble models, including random forest and gradient boosting model accounting for multicollinearity and hyperparameter tuning.
Interactive Shiny Web Application Showing Market Trends of Three Commodities in Five Coutries
A demonstration of scalable faceting using ggplot2 and TrelliscopeJS R pacakges.
Spotlight on Economics post at NDSU on Big Data in Agriculture.