Python: Advanced Predictive Analytics
Language: English
Published by Packt Publishing, 2017
- Softcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
£ 105.93
Quantity: 1 available
Add to basketItem description from seller
660 pages. 9.21x7.32x1.42 inches. In Stock. This item is printed on demand.
Seller Inventory # __1788992369
- Title
- Python: Advanced Predictive Analytics
- Author
- Ashish Kumar
- Publisher
- Packt Publishing
- Publication year
- 2017
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1788992369
- ISBN 13
- 9781788992367
- Item weight
- 1.12 kilograms
Learn the art of regression analysis with Python
Key Features
- Become competent at implementing regression analysis in Python
- Solve some of the complex data science problems related to predicting outcomes
- Get to grips with various types of regression for effective data analysis
Book Description
Regression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer.
What You Will Learn
- Format a dataset for regression and evaluate its performance
- Apply multiple linear regression to real-world problems
- Learn to classify training points
- Create an observation matrix, using different techniques of data analysis and cleaning
- Apply several techniques to decrease (and eventually fix) any overfitting problem
- Learn to scale linear models to a big dataset and deal with incremental data
Who This Book Is For
The book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science./p>""
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About the Author
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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Edward Bowditch Ltd
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Exeter, United Kingdom EX3 0PP
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