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Hands-On Machine Learning with Microsoft Excel 2019

You're reading from   Hands-On Machine Learning with Microsoft Excel 2019 Build complete data analysis flows, from data collection to visualization

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345377
Length 254 pages
Edition 1st Edition
Tools
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Author (1):
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Julio Cesar Rodriguez Martino Julio Cesar Rodriguez Martino
Author Profile Icon Julio Cesar Rodriguez Martino
Julio Cesar Rodriguez Martino
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Machine Learning Basics FREE CHAPTER
2. Implementing Machine Learning Algorithms 3. Hands-On Examples of Machine Learning Models 4. Section 2: Data Collection and Preparation
5. Importing Data into Excel from Different Data Sources 6. Data Cleansing and Preliminary Data Analysis 7. Correlations and the Importance of Variables 8. Section 3: Analytics and Machine Learning Models
9. Data Mining Models in Excel Hands-On Examples 10. Implementing Time Series 11. Section 4: Data Visualization and Advanced Machine Learning
12. Visualizing Data in Diagrams, Histograms, and Maps 13. Artificial Neural Networks 14. Azure and Excel - Machine Learning in the Cloud 15. The Future of Machine Learning 16. Assessment

Data Mining Models in Excel Hands-On Examples

Data mining is about finding hidden patterns and associations in data. A large number of analyses that can only be performed by a human in a reasonable time if the amount of data is small, can be done by a computer in a very short time. Before Excel 2016, it was possible to install an add-in (called Data Mining) that was packed with different methods and models that could be used, mostly as black boxes, to get insights and discover information in any dataset. Microsoft then changed its policy and started migrating this capability to the cloud, first to Office 365 and, most recently, to Azure. It is also possible to calculate many things in Excel, with built-in functions and even with the help of macros programmed in Visual Basic Applications (VBA). Here, we will show two cases where data mining can help us find important information...

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