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

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...

Descripción completa

Detalles Bibliográficos
Otros Autores: Roque, Fernando, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing [2022]
Materias:
Microsoft Excel (Computer file)
Commercial statistics.
Statistics.
Industrial management > Statistical methods.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009664707606719
Tabla de Contenidos:
  • 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.

Ejemplares similares