Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization /

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Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Martino, Julio Cesar Rodriguez (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2019.
Temas:
Microsoft Excel (Computer file)
Machine learning.
Data mining.
Data Mining
Apprentissage automatique.
Exploration de données (Informatique)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Section 1: Machine Learning Basics
  • Chapter 1: Implementing Machine Learning Algorithms
  • Chapter 2: Hands-On Examples of Machine Learning Models
  • Section 2: Data Collection and Preparation
  • Chapter 3: Importing Data into Excel from Different Data Sources
  • Chapter 4: Data Cleansing and Preliminary Data Analysis
  • Chapter 5: Correlations and the Importance of Variables
  • Section 3: Analytics and Machine Learning Models
  • Chapter 6: Data Mining Models in Excel Hands-On Examples
  • Chapter 7: Implementing Time Series
  • Section 4: Data Visualization and Advanced Machine Learning
  • Chapter 8: Visualizing Data in Diagrams, Histograms, and Maps
  • Chapter 9: Artificial Neural Networks
  • Chapter 10: Azure and Excel
  • Machine Learning in the Cloud
  • Chapter 11: The Future of Machine Learning

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