Using the Kaggle Titanic dataset to compare accuracy of imputing missing variables and training a separate model for each combination of missing variables.

Looking at text data from Twitter, news and blog posts to look at which word combinations occur frequently, and start to think about how my predicative model will take shape.

Using NOAA data to measure how various storm events and which ones are most damaging both from an economic and health perspective.

Test Rpubs markdown