Supervised learning with Python : concepts and practical implementation using Python

Supervised learning with Python concepts and practical implementation using Python

Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well...

Descripción completa

Detalles Bibliográficos
Otros Autores: Verdhan, Vaibhav, author (author), Kling, Eli Yechezkiel, writer of foreword (writer of foreword)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress [2020]
Edición:1st ed. 2020.
Materias:
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630765006719
Tabla de Contenidos:
  • Chapter 1: Introduction to Supervised Learning
  • Chapter 2: Supervised Learning for Regression Analysis
  • Chapter 3: Supervised Learning for Classification Problems
  • Chapter 4: Advanced Algorithms for Supervised Learning
  • Chapter 5: End-to-End Model Development.

Ejemplares similares