Hands-on time series analysis with Python : from basics to bleeding edge techniques /

This book explains the concepts of time series from traditional to bleeding-edge techniques with full-fledged examples. The book begins by covering time series fundamentals and its characteristics, the structure of time series data, pre-processing, and ways of crafting the features through data wran...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Vishwas, B. V.
Other Authors: Patel, Ashish (Data scientist)
Format: Electronic eBook
Language:Inglés
Published: Berkeley, CA : APress, 2020.
Subjects:
Time-series analysis > Data processing.
Python (Computer program language)
Série chronologique > Informatique.
Python (Langage de programmation)
Programming & scripting languages: general.
Computer programming > software development.
Machine learning.
Computers > Programming Languages > Python.
Computers > Programming > Open Source.
Computers > Intelligence (AI) & Semantics.
Time-series analysis > Data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1: Time Series and its Characteristics
  • Chapter 2: Data Wrangling and Preparation for Time Series
  • Chapter 3: Smoothing Methods
  • Chapter 4: Regression Extension Techniques for Time Series
  • Chapter 5: Bleeding Edge Techniques
  • Chapter 6: Bleeding Edge Techniques for Univariate Time Series
  • Chapter 7: Bleeding Edge Techniques for Multivariate Time Series
  • Chapter 8: Prophet.

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