Wrapping up
14
Summary
Python Essentials for Wrestling with Data
Preface
The Very Basics
1
Introduction
2
Control Flow Statements
3
Functions
Basic Data Manipulation
4
NumPy
5
Pandas Basics
6
Working with DataFrames
Data Visualization
7
Data visualisation with Matplotlib
8
Seaborn for data visualisation
Modelling
9
Linear regression
10
Logistic regression
11
Decision Trees
12
Gradient Boosting
13
Unsupervised Learning
Wrapping up
14
Summary
References
Appendices
A
Installing Python
B
Setting up a Conda environment
Table of contents
14.1
What’s next?
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Wrapping up
14
Summary
14
Summary
In summary, this book is a work in progress.
Code
print
(
"Thanks for reading!"
)
Thanks for reading!
14.1
What’s next?
13
Unsupervised Learning
References