Data science project on mushroom classification data
To predict whether the mushroom is safe to eat or it is a deadly poison?
Used ggplot2 and dplyr to understand and visualize the links between different predictors & between some predictors and target variable.
Used caret package in R for preprocessing, splitting, training, parameter tuning, variable importance estimating and making predictions on the test data. Also used confusion matrix from the caret package to evaluate the performance of different machine learning models designed.