Pandas data cleaning and modeling with Python /

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Bibliographic Details
Author / Creator:	Chen, Daniel Y.
Imprint:	[Place of publication not identified] : Addison-Wesley : Pearson, [2018]
Description:	1 online resource (1 streaming video file (3 hr., 39 min., 11 sec.))
Language:	English
Series:	LiveLessons LiveLessons (Indianapolis, Ind.)
Subject:	Data mining. Electronic data processing. Data curation. Python (Computer program language) Data curation. Data mining. Electronic data processing. Python (Computer program language)
Format:	E-Resource Video Streaming Video
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13656313

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Digital file characteristics:	data file
Notes:	Title from title screen (viewed January 31, 2018). Title from resource description page (Safari, viewed January 31, 2018). Presenter, Daniel Y. Chen.
Summary:	"In Pandas Data Cleaning and Modeling with Python LiveLessons, Daniel Y. Chen builds upon the foundation he built in Pandas Data Analysis with Python Fundamentals LiveLessons. In this LiveLesson Dan teaches you the techniques and skills you need to know to be able to clean and process your data. Dan shows you how to do data munging using some of the built-in Python libraries that can be used to clean data loaded into Pandas. Once your data is clean you are going to want to analyze it, so next Dan introduces you to other libraries that are used for model fitting."--Resource description page

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