Technical report for a manufacturing process pH prediction project. The analysis covers data cleaning, exploratory data analysis, model training and comparison (linear regression, elastic net, MARS, random forest, and Cubist), and selection of a final Cubist model to generate pH predictions.

Submitting Homework 4 110925

Publishing my Homework 3

Here is my Rpubs of Homework 2

Submitting my homework 1!

An assignment that makes us obtain a json file from NYT and open it as an R dataframe.

Tom Brady