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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
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Julio Cesar Rodriguez Martino
Julio Cesar Rodriguez Martino
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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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Chapter 4, Data Cleansing and Preliminary Data Analysis

  1. Instead of building the decision tree manually, it would be interesting to study in-depth the example built-in Azure Machine Learning Studio, which was shown in Chapter 10, Azure and Excel - Machine Learning in the Cloud.
  2. cabin and fare, pclass and fare, home.dest and fare are some examples.
  3. Missing values could be replaced by the mean value of the variable.
  4. Any unbalance in the dataset is referred to as bias. This will affect the results of any machine learning model, since the model will find more examples of a given class or some tendency to a particular target value.
  5. You can, for example, try to see some correlations between variables using scatter plots.
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Hands-On Machine Learning with Microsoft Excel 2019
Published in: Apr 2019Publisher: PacktISBN-13: 9781789345377
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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