December 2022
Beginner to intermediate
512 pages
14h 57m
English
Content preview from Pandas for Everyone: Python Data Analysis, 2nd Edition
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Part IV
Data Modeling
Chapter 13 Linear Regression (Continuous Outcome Variable)
Chapter 14 Generalized Linear Models
This part of the book follows the methods described in Jared Lander’s R for Everyone. The rationale is that since you have learned the methods of data manipulation in Python using Pandas, you can save out the cleaned data set if you need to use a method from another analytics language.
This part covers many of the basic modeling techniques and serves as an introduction to data analytics and machine learning. Other great references are:
Andreas Müller and Sarah Guido’s Introduction to Machine Learning with Python
Sebastian ...
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