ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Computers / Data Visualization

Regression Analysis with Python

| £30.11 | €33.33 | Ca$48.43 | Au$48.29
by Luca Massaron & Alberto Boschetti
What is this?DRM-EPUB | by download   add to wish list
Regression Analysis with Python by Luca Massaron & Alberto Boschetti

Learn the art of regression analysis with Python About This Book • 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 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. 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 In Detail 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. Style and approach This is a practical tutorial-based book. You will be given an example problem and then supplied with the relevant code and how to walk through it. The details are provided in a step by step manner, followed by a thorough explanation of the math underlying the solution. This approach will help you leverage your own data using th

To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
or call in the US toll free 1-888-866-9150 product ID: 819648

Ebook Details
Pages: 312
Size: 6.7 MB
Publisher: Packt Publishing
Date published:   2016
ISBN: 9781783980741 (DRM-EPUB)

DRM Settings
Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

This product is listed in the following categories:

Nonfiction > Computers > Data Processing
Nonfiction > Computers > Programming > Algorithms
Nonfiction > Computers > Data Visualization

These authors have products in the following categories:

Nonfiction > Computers > Programming > Open Source
Nonfiction > Computers > Business Software > Business Intelligence Tools
Nonfiction > Computers > Programming Languages > Python
Nonfiction > Computers > Data Processing
Nonfiction > Computers > Programming > Algorithms
Nonfiction > Computers > Data Visualization
Nonfiction > Computers > Machine Theory
Nonfiction > Computers > Database Management > Database Mining
Nonfiction > Computers > Neural Networks

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

© 2016