Time Series Algorithms Recipes : Implement Machine Learning and Deep Learning Techniques with Python

Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods lik...

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Detalles Bibliográficos
Otros Autores: Kulkarni, Akshay R., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2023.
Edición:1st ed. 2023.
Materias:
Time-series analysis > Computer programs.
Time-series analysis > Data processing.
Machine learning > Computer programs.
Python (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711809906719
Tabla de Contenidos:
  • Chapter 1: Getting Started with Time Series
  • Chapter 2: Statistical Univariate Modelling
  • Chapter 3: Statistical Multivariate Modelling
  • Chapter 4: Machine Learning Regression-Based Forecasting
  • Chapter 5: Forecasting Using Deep Learning.

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