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

Questions

In our forecast, we modeled the increasing part of the time series using the trend function generated by Excel. We could also have used the moving average values. How can that be done? Try it and compare the results.
Change the values of the seasonality and confidence interval and study how the forecast diagram and parameters change.
How can you calculate the covariance between two values in a time series?
A possible way to make the variance independent of time is to take the logarithm of the time series values. Try this in the air passengers series and check the values of the variance.

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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.
Read more about Julio Cesar Rodriguez Martino

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