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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Kulkarni, Akshay R. (Author), Shivananda, Adarsha (Author), Kulkarni, Anoosh (Author), Krishnan, V. Adithya (Author)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Apress L. P., [2023]
Subjects:
Time-series analysis > Computer programs.
Time-series analysis > Data processing.
Machine learning > Computer programs.
Python (Computer program language)
Série chronologique > Informatique.
Apprentissage automatique > Logiciels.
Python (Langage de programmation)
Time-series analysis > Computer programs
Time-series analysis > Data processing
Electronic books.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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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