Skip to Content
Jupyter Cookbook
book

Jupyter Cookbook

by Toomey, Nikhil Borkar, Nikhil Akki, Juan Tomás Oliva Ramos
April 2018
Beginner content levelBeginner
238 pages
7h 13m
English
Packt Publishing
Content preview from Jupyter Cookbook

How it works...

Locally weighted scatterplot smoothing (LOWESS) is a useful mechanism when performing a regression to see a smoothed line drawn through our data. Once accomplished, you are likely to see relationships and possibly forecasts.

While the lowess line does fit the data better than simple regression, it does not appear to be an intuitive relationship as there is just a bump to attempt to line up better between the two groups of data points.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Cookbook, 3rd Edition

Python Cookbook, 3rd Edition

David Beazley, Brian K. Jones
Pandas 1.x Cookbook - Second Edition

Pandas 1.x Cookbook - Second Edition

Matthew Harrison, Theodore Petrou
bash Cookbook, 2nd Edition

bash Cookbook, 2nd Edition

Carl Albing, JP Vossen

Publisher Resources

ISBN: 9781788839440Supplemental Content