ABC Beverage is conducting an internal review of its manufacturing process with a focus on understanding the factors that influence product pH levels. This technical report highlights our team's data science-driven approach to modeling and predicting pH using historical production data.

Do problems 8.1, 8.2, 8.3, and 8.7 in Kuhn and Johnson. Please submit the Rpubs link along with the .rmd file.

Do problems 7.2 and 7.5 in Kuhn and Johnson. There are only two but they have many parts. Please submit both a link to your Rpubs and the .rmd file.

In Kuhn and Johnson do problems 6.2 and 6.3. There are only two but they consist of many parts. Please submit a link to your Rpubs and submit the .rmd file as well.

This project consists of 3 parts - two required and one bonus...

Do the exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 in Hyndman.

Do exercises 8.1, 8.5, 8.6, 8.7, 8.8, 8.9 in *Hyndman*. Please submit both the link to your Rpubs and the `.pdf` file with your run code.

Do problems 3.1 and 3.2 in the Kuhn and Johnson book Applied Predictive Modeling.

Do exercises 5.1, 5.2, 5.3, 5.4 and 5.7 in the Hyndman [book](https://otexts.com/fpp3/toolbox-exercises.html). Please submit your Rpubs link as well as your .pdf file showing your run code.

DATA 624