Data forecasting and segmentation using Microsoft Excel : perform data grouping, linear predictions, and time series machine learning statistics without using code /

Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learning Key Features Segment data, regression predictions, and time series forecasts without writing any code Group multiple variables with K-means using Excel plugin without programming Build, valida...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Roque, Fernando
Format: Electronic eBook
Language:Inglés
Published: Birmingham : Packt Publishing Limited, 2022.
Subjects:
Microsoft Excel (Computer file)
Commercial statistics.
Statistics.
Industrial management > Statistical methods.
Statistique.
Gestion d'entreprise > Méthodes statistiques.
statistics.
Commercial statistics
Industrial management > Statistical methods
Statistics
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Table of Contents Understanding Data Segmentation Applying Linear Regression What is Time Series? An Introduction to Data Grouping Finding the Optimal Number of Single Variable Groups Finding the Optimal Number of Multi-Variable Groups Analyzing Outliers for Data Anomalies Finding the Relationship between Variables Building, Training, and Validating a Linear Model Building, Training, and Validating a Multiple Regression Model Testing Data for Time Series Compliance Working with Time Series Using the Centered Moving Average and a Trending Component Training, Validating, and Running the Model.

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