You're reading from Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781803247731

Length 324 pages

Edition 1st Edition

Languages

C++

Tools

Excel

Concepts

Data Analysis

Author (1):

Fernando Roque

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Table of Contents (19) Chapters

Preface

1. Part 1 – An Introduction to Machine Learning Functions

2. Chapter 1: Understanding Data Segmentation FREE CHAPTER

3. Chapter 2: Applying Linear Regression

4. Chapter 3: What is Time Series?

5. Part 2 – Grouping Data to Find Segments and Outliers

6. Chapter 4: Introduction to Data Grouping

7. Chapter 5: Finding the Optimal Number of Single Variable Groups

8. Chapter 6: Finding the Optimal Number of Multi-Variable Groups

9. Chapter 7: Analyzing Outliers for Data Anomalies

10. Part 3 – Simple and Multiple Linear Regression Analysis

11. Chapter 8: Finding the Relationship between Variables

12. Chapter 9: Building, Training, and Validating a Linear Model

13. Chapter 10: Building, Training, and Validating a Multiple Regression Model

14. Part 4 – Predicting Values with Time Series

15. Chapter 11: Testing Data for Time Series Compliance

16. Chapter 12: Working with Time Series Using the Centered Moving Average and a Trending Component

17. Chapter 13: Training, Validating, and Running the Model

18. Other Books You May Enjoy

Technical requirements

The following are the prerequisites of this chapter:

Download the Excel file for this chapter here: https://github.com/PacktPublishing/Data-Forecasting-and-Segmentation-Using-Microsoft-Excel/blob/main/Chapter05/kmeansClustersChapter4_5_6_7.xlsm.
Create and include the function in this code to calculate the optimal number of groups. Download the code from here: https://github.com/PacktPublishing/Data-Forecasting-and-Segmentation-Using-Microsoft-Excel/blob/main/Chapter05/kmeanselbow.r.
Download the K-means function to group the data into segments from here: https://github.com/PacktPublishing/Data-Forecasting-and-Segmentation-Using-Microsoft-Excel/blob/main/Chapter05/kmeansworking01.r.
The Kaggle data source for products, quantity, and profits to analyze the statistical groups included in the Excel file can be found at this link: https://www.kaggle.com/tanmaygangurde/global-superstore-ml/notebook.

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You're reading from Data Forecasting and Segmentation Using Microsoft Excel Perform data grouping, linear predictions, and time series machine learning statistics without using code

Table of Contents (19) Chapters

Technical requirements

Authors (1)

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Table of Contents (19) Chapters

Technical requirements

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