You're reading from Hands-On Machine Learning with Microsoft Excel 2019

Product typeBook

Published inApr 2019

PublisherPackt

ISBN-139781789345377

Edition1st Edition

Tools

Excel

Concepts

Machine Learning

Author (1)

Julio Cesar Rodriguez Martino

Summary

In this chapter, we described different methods of inputting information into an Excel spreadsheet, going beyond what can be done by hand-typing data. A variety of file types, web data sources, and databases can be analyzed from within Excel by using Power Query and Query Editor to extract, transform, and load data. I encourage you to explore other data sources, since the loading procedure is very similar.

So far, we have seen some very simple data transformations being applied to the data before it was loaded. In the next chapter, we will discuss more advanced techniques for cleansing data.

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Hands-On Machine Learning with Microsoft Excel 2019

Published in: Apr 2019Publisher: PacktISBN-13: 9781789345377

Author (1)

Julio Cesar Rodriguez Martino

Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks. Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.
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