Data science revealed : with feature engineering, data visualization, pipeline development, and hyperparameter tuning /

Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nokeri, Tshepo Chris
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, 2021.
Temas:
Data mining.
Machine learning.
Mathematical statistics.
Data Mining
Exploration de données (Informatique)
Apprentissage automatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: An Introduction to Simple Linear Regression Analysis
  • Chapter 2: Advanced Parametric Methods
  • Chapter 3: Time Series Analysis
  • Chapter 4: High-Quality Time Series Analysis
  • Chapter 5: Logistic Regression Analysis
  • Chapter 6: Dimension Reduction and Multivariate Analysis Using Linear Discriminant Analysis
  • Chapter 7: Finding Hyperplanes Using Support Vectors
  • Chapter 8: Classification Using Decision Trees
  • Chapter 9: Back to the Classics
  • Chapter 10: Cluster Analysis
  • Chapter 11: Survival Analysis
  • Chapter 12: Neural Networks
  • Chapter 13: Machine Learning Using H2O.

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