- Study guides, Class notes & Summaries

Study this example: Copy and paste the provided R source code into an R markdown file and make it run. Weave an explanation of the model and it's conculsions into your markdown file.

Using Chapter 5, we will experiment with association analysis.

Using Chapter 4, let's look at other ways to do classification - nearest neighbors, decisions trees, support vector machines, even neural nets.

Using Chapter 3, let's about classification. This week we will be using the zoo dataset, another common dataset among data mining classes.

Using Chapter 2, let's learn how to explore data. We will be using the Iris dataset which is commonly one of the first datasets used in data mining classes.

Edit the provided R Markdown document so that It contains your name and then knit it as HTML.

We will be using examples from the book An R Companion for Introduction to Data Mining by Michael Hahsler. Every week you will be assigned a new example from this book. The instructions for each week are identical: copy and paste the source code into R studio and run it. understand what it does, explain how the dataset is processed, generate every graph, etc. document your work in an R Markdown document.