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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

Learning by example – Customer Cohort Analysis

An excellent way of gaining insights about a company's customers and their behavior is to perform a segmented analysis. These segments are groups of customers that share the same characteristics and are usually called cohorts. Their definition depends very much on the type of business we are dealing with.

The dataset we will analyze contains a list of customer IDs, the date when they first purchased something from us, the day they left us, and the mean amount of money spent per month. What does "left us" mean in this context? It is mainly a matter of definition. For example, if we refer to a credit card, we could consider that the customer left when they cancelled the card, or maybe we want to go further and say that if the customer did not spend any money for two or three months, we consider that they have left...

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