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Microsoft Azure Machine Learning

You're reading from Microsoft Azure Machine Learning

Product type Book

Published in Jun 2015

Publisher

ISBN-13 9781784390792

Pages 212 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Sumit Mund

Christina Storm

View More author details

Table of Contents (21) Chapters

Microsoft Azure Machine Learning

Credits

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

Preface

Introduction

ML Studio Inside Out

Data Exploration and Visualization

Getting Data in and out of ML Studio

Data Preparation

Regression Models

Classification Models

Clustering

A Recommender System

Extensibility with R and Python

Publishing a Model as a Web Service

Case Study Exercise I

Case Study Exercise II

Index

The dataset

We will use the sample dataset that comes by default in ML Studio. This is the subset of the passenger flight's on-time performance data taken from the TranStats data collection from U.S. Department of Transportation (DOT) (http://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236&DB_Short_Name=On-Time).

The dataset has been preprocessed and is filtered to include only the 70 busiest airports in the continental United States for the period between April 2013 to October 2013. It contains the following columns:

Carrier: This contains the code assigned by IATA and is commonly used to identify a carrier.
OriginAirportID (Origin Airport's Airport ID): This is an identification number assigned by DOT to identify a unique airport.
DestAirportID (Destination Airport;s Airport ID): This is an identification number assigned by DOT to identify a unique airport.
CRSDepTime: This is the scheduled departure time (local time in hh:mm).
DepDelay: This is the difference in minutes between...

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Authors (2)

Sumit Mund

Sumit Mund is a BI/analytics consultant with about a decade of industry experience. He works in his own company, Mund Consulting Ltd., where he is a director and lead consultant. He is an expert in machine learning, predictive analytics, C#, R, and Python programming; he also has an active interest in Artificial Intelligence. He has extensive experience working with most of Microsoft Data Analytics tools and also on Big Data platforms, such as Hadoop and Spark. He is a Microsoft Certified Solution Expert (MCSE in Business Intelligence). Sumit regularly engages on social media platforms through his tweets, blogs, and LinkedIn profile, and often gives talks at industry conferences and local user group meetings.

See other products by Sumit Mund

Christina Storm

contacted on 5 aug 16

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