Before the first class meeting, read Chapter 1 Why Git? Why GitHub? of Happy Git With R.
bookdown: Authoring Books and Technical Documents with R Markdown
Sign-up for a free account on GitHub. When you register for a free individual GitHub account, request a student discount to obtain a few private repositories as well as unlimited public repositories. Please use something similar to FirstNameLastName as your username when you register with GitHub. For example, my username on GitHub is alanarnholt. If you have a popular name such as John Smith, you may need to provide some other distinguishing characteristic in your username.
Send an email to arnholtat@appstate.edu with a Subject line of STT3860 - GitHub Username, and tell me in the body of your email your first name, last name, and your GitHub username.
Make sure RStudio is set up to communicate with Git by following the directions in HappyGitWithR for introducing yourself to Git.
Set cache your credentials and set up a personal access token (PAT) by following the directions in HappyGitWithR.
TL;DR the chapters in Happy Git With R — follow this document to Set up Git and GitHub
Start Chapters 1 and 2 in Inference for Numerical Data in R on DataCamp—Due Jan 23 NLT 5:00 PM
Optional Resources:
Complete Chapters 1 and 2 in Inference for Numerical Data in R on DataCamp—Due Jan 23 NLT 5:00 PM
Complete Chapters 3 and 4 in Inference for Numerical Data in R on DataCamp—Due Jan 24 NLT 5:00 PM
Complete and turn in a hard copy of your quick sheet of “Inference for Numerical Data in R” using Quarto—Due Jan 25 NLT 5:00 PM
START LAB1: Questioning and Cleaning the bodyfat data Lab—Due Feb 1 NLT 5:00 PM
Read Chapters 1-5 of Correlation and Regression
Misc Regression topics
Complete and turn in a hard copy of your quick sheet of “Correlation and Regression” using Quarto—Due Feb 8 NLT 5:00 PM
Complete Chapters 1-4 in Modeling with Data in the Tidyverse on DataCamp—Due Feb 14 NLT 5:00 PM
Misc Regression topics
Complete and turn in a hard copy of your quick sheet of “Modeling with Data in the Tidyverse” using Quarto—Due Feb 15 NLT 5:00 PM
In class review this document.
Pick a data set from the UCI machine learning repository where you can use linear regression to create a model after cleaning the data as appropriate.
Data set clean up due NLT 5:00 PM Feb 22 for Group Presentation # 1
Read Appendix E.
Complete Chapters 1-5 in Machine Learning with caret in R on DataCamp—Due Mar 6 NLT 5:00 PM
Complete and turn in a hard copy of your quick sheet of “Machine Learning with caret in R” using Quarto—Due Mar 7 NLT 5:00 PM
Complete LAB2: Linear models with the bodyfat data Lab—Due Mar 28 NLT 5:00 PM
Pick a data set from the UCI machine learning repository where you can use logistic linear regression to create a model after cleaning the data as appropriate.
Data set clean up due NLT 5:00 PM Mar 28 for Group Presentation # 2
Review as needed Train and Test
Review as needed Regression Trees
Review as needed Predictive Model Building
Complete and turn in a hard copy of your quick sheet of “Tree based Models in R” using Quarto—Due Apr 11 NLT 5:00 PM
START LAB3: Non-linear models with the bodyfat data Lab—Due Apr 18 NLT 5:00 PM
Complete LAB3: Non-linear models with the bodyfat data Lab—Due Apr 18 NLT 5:00 PM
Pick a data set from the UCI machine learning repository where you can create a model using trees.
Clean chosen data and make models
Clean chosen data and make models
Prepare group presentation. Accept materials here