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Hands-On Machine Learning with Microsoft Excel 2019

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

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345377
Pages 254 pages
Edition 1st Edition
Languages
Author (1):
Julio Cesar Rodriguez Martino Julio Cesar Rodriguez Martino
Profile icon Julio Cesar Rodriguez Martino
Toc

Table of Contents (17) Chapters close

Preface 1. Section 1: Machine Learning Basics
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

Importing data from a web page

If a web page contains data in tabular form, then Excel is able to import these tables automatically. As an example, we will import a table from the Wikipedia page about Excel. Here's how we will go about it:

  1. Click on Data and then navigate to Get Data | From Other Sources | From Web, as shown in the following screenshot:
  1. In the dialog that pops up, we type in the URL of the mentioned web page and click OK, as shown in the following screenshot:
  1. Now, we will be able to see a list of available tables. Pick the one showing Excel's release history. A table preview is shown to the right, as shown in the following screenshot:
  1. As we did before, we can just load the data or edit it, transforming the values according to our needs. The final result is an Excel table.
We also have the choice of changing to web view and seeing the target...
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