Learning_Predictive_Analytics_with_Python_-_Ashish_Kumar.pdf

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Learning Predictive Analytics with
Python
Table of Contents
Learning Predictive Analytics with Python
Credits
Foreword
About the Author
Acknowledgments
About the Reviewer
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Free access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
1. Getting Started with Predictive Modelling
Introducing predictive modelling
Scope of predictive modelling
Ensemble of statistical algorithms
Statistical tools
Historical data
Mathematical function
Business context
Knowledge matrix for predictive modelling
Task matrix for predictive modelling
Applications and examples of predictive modelling
LinkedIn’s “People also viewed” feature
What it does?
How is it done?
Correct targeting of online ads
How is it done?
Santa Cruz predictive policing
How is it done?
Determining the activity of a smartphone user using accelerometer data
How is it done?
Sport and fantasy leagues
How was it done?
Python and its packages – download and installation
Anaconda
Standalone Python
Installing a Python package
Installing pip
Installing Python packages with pip
Python and its packages for predictive modelling
IDEs for Python
Summary
2. Data Cleaning
Reading the data – variations and examples
Data frames
Delimiters
Various methods of importing data in Python
Case 1 – reading a dataset using the read_csv method
The read_csv method

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