Predicting the violent crime rate in a selection of small American cities with linear regression. Data set was procured from: http://college.cengage.com/mathematics/brase/understandable_statistics/7e/students/datasets/mlr/frames/frame.html

A Recurrent Neural Network was fit and used to predict US temperature data. These forecasts were then compared to forecasts from the National Weather Service, with the NWS winning out. This model was created for the JSM 2018 Data Expo competition, however it did not end up in the final project. A link to the competition, where I took first prize: http://community.amstat.org/stat-computing/data-expo/data-expo-2018

Simple recurrent neural network for the temperature outside.

This is a collection of examples of all the Supervised learning algorithms that I learned through STAT 6620.

This is a collection of examples of all the machine learning algorithms that I learned through STAT 6620. These examples involve datasets I found on my own and were not copied from class. More examples will be added as the course progresses.

One of each test we did in SAS, converted to R.