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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Limited,
2022.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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.