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Applied Data Science with Python and Jupyter
book

Applied Data Science with Python and Jupyter

by Alex Galea
October 2018
Beginner
192 pages
3h 39m
English
Packt Publishing
Content preview from Applied Data Science with Python and Jupyter

Appendix A

About

This section is included to assist the students to perform the activities present in the book. It includes detailed steps that are to be performed by the students to complete and achieve the objectives of the activity.

Chapter 1: Jupyter Fundamentals

Activity 1: Building a Third-Order Polynomial Model

  1. Scroll to the empty cells at the bottom of Subtopic C in your Jupyter Notebook.
  2. These will be found beneath the linear-model MSE calculation cell under the Activity heading.

    Note

    You should fill these empty cells in with code as we complete the activity. You may need to insert new cells as these become filled up; please do so as needed.

  3. We will first pull out our dependent feature from and target variable from df. using ...
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Publisher Resources

ISBN: 9781789958171