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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

Using AMLS for free – a step-by-step guide

Microsoft AMLS is a tool that provides a drag and drop interface to build, test, and deploy machine learning models and analytics solutions. It is possible to publish models as web services that can be consumed from Excel (among other tools).

We will start by registering in the AMLS home page, using your Microsoft account:

  1. Open https://studio.azureml.net/. You will see the following front page:
  1. Click on Sign up here and you will get to the next page:
  1. Choose the second option (that is, Free Workspace), which requires that you have a Microsoft account. The advantage is that this option is free and you can use it without limits. Once you click on the Free Workspace option, you will be taken to the following login screen:
  1. Enter the username you chose when you created your Microsoft account and click on Next. You will then...
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