Example slides for Creating Data Products coursera course project

Simple example of lasso, ridge, and elastic net regressions

Example of training a neural network onto the adult income dataset from UCI Machine Learning Repository along with network visualization

Example prediction task using randomForest and caret packages in R.

Basic application of a decision tree (rpart) to UCI machine learning repository adult income data.

Brief example of applying the knn approach to prediction.

Brief overview of using R for feature selection

In this document, we look at injuries as well as fatalities due to the most dangerous weather events in the NOAA storm data set. We then explore economic damage caused by the worst weather events. We find that tornadoes are by a large margin the most dangerous and expensive events and are relatively frequent compared to other events that cause injury and death. We also find that floods are relatively uncommon compared to other severe weather events, but they tend to cause a disproportionate amount of damage both in terms of health outcomes as well as economic outcomes.