Machine learning with Python cookbook : practical solutions from preprocessing to deep learning /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Albon, Chris (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, [2018]
Edición:First edition.
Temas:
Machine learning.
Python (Computer program language)
Apprentissage automatique.
Python (Langage de programmation)
COMPUTERS > Programming Languages > Python.
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Preface
  • Chapter 1. Vectors, Matrices, and Arrays
  • Chapter 2. Loading Data
  • Chapter 3. Data Wrangling
  • Chapter 4. Handling Numerical Data
  • Chapter 5. Handling Categorical Data
  • Chapter 6. Handling Text
  • Chapter 7. Handling Dates and Times
  • Chapter 8. Handling Images
  • Chapter 9. Dimensionality Reduction Using Feature Extraction
  • Chapter 10. Dimensionality Reduction Using Feature Selection
  • Chapter 11. Model Evaluation
  • Chapter 12. Model Selection
  • Chapter 13. Linear Regression
  • Chapter 14. Trees and Forests
  • Chapter 15. K-Nearest Neighbors
  • Chapter 16. Logistic Regression
  • Chapter 17. Support Vector Machines
  • Chapter 18. Naive Bayes
  • Chapter 19. Clustering
  • Chapter 20. Neural Networks
  • Chapter 21. Saving and Loading Trained Models.

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