From the course: Python Statistics Essential Training
Join today to access over 25,300 courses taught by industry experts.
Standardizing values - Python Tutorial
From the course: Python Statistics Essential Training
Standardizing values
- [Instructor] In this lesson, we're going to look at standardizing values. We're going to talk first about what this concept of standardization means, and then we'll learn how to do this from scikit-learn. Again, once you understand the conventions of scikit-learn, this is not particularly hard. And then we'll look and see if this impacts our score. We're also going to reexamine our coefficients after doing that and see if those change as well. So standardization has a specific meaning to statisticians. And oftentimes, people say normalize, and when they say normalize, they mean standardization. What standardization means is that we're going to take our X or our dataframe and we're going to basically collapse the values or shrink them into a given range or maybe expand them into a given range and center them. More specifically, it means we give each column a mean value of zero and the standard deviation of one. Why is…
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.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.