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How can I clean my data for use in a predictive model?

"Garbage In/Garbage Out applies to more than just manufacturing. Dirty data can doom your predictive analytics project from the very start! In this video, Matt North will show you how to identify flaws, such as statistical outliers and missing values, to improve the usefulness and reliability o...

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Bibliographic Details
Main Author: North, Matthew
Format: eBook
Language:English
Published: [Place of publication not identified] Infinite Skills 2017
Subjects:
Data Editing / Fast / (ocolc)fst00887933
Data Editing / Http://id.loc.gov/authorities/subjects/sh85035855
Electronic Data Processing / Data Preparation / Fast / (ocolc)fst00906984
Electronic Data Processing / Data Preparation / Http://id.loc.gov/authorities/subjects/sh85042292
Data Mining / Fast / (ocolc)fst00887946
Business Forecasting / Data Processing / Fast / (ocolc)fst00842701
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Préparation Des Données (informatique)
Business Forecasting / Data Processing
Prévision Commerciale / Informatique
Exploration De Données (informatique)
Édition (informatique)
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"Garbage In/Garbage Out applies to more than just manufacturing. Dirty data can doom your predictive analytics project from the very start! In this video, Matt North will show you how to identify flaws, such as statistical outliers and missing values, to improve the usefulness and reliability of your results."--Resource description page
Item Description:Title from resource description page (Safari, viewed May 15, 2017)
Physical Description:1 streaming video file (5 min., 43 sec.) digital, sound, color

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