From the course: Data Science Foundations: Data Mining in Python
Unlock the full course today
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
Solution: K-means - Python Tutorial
From the course: Data Science Foundations: Data Mining in Python
Solution: K-means
(upbeat music) - [Narrator] Now that you've had a moment let's see how we can use k-MEANS with the new dataset, the iris dataset. As before, I'm going to load a number of packages and then following the template that we had when we did k-MEANS on the penguins dataset, then we'll load the dataset from the local CSV file and take a look we have four physical measurements on different scales and we have a species variable. Well, I'm going to rename species as y, remove it from the original, save it on its own, standardize the other variables and take a look again at the first few rows. And now what we see are Z scores, these are all done so that they have a mean of zero and a standard deviation of one, and we've saved the class variable which gives us the species in a separate object lowercase y. Now let's do k-MEANS and we use the same code that we had before, that's one of the advantages of standardized names for objects.…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.