Hands-on Time Series Analysis with Python : From Basics to Bleeding Edge Techniques

Hands-on Time Series Analysis with Python From Basics to Bleeding Edge Techniques

Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks. You'...

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Bibliographic Details
Other Authors: Vishwas, B V. author (author), Patel, Ashish. author
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2020.
Edition:1st ed. 2020.
Subjects:
Machine learning.
Python (Computer program language).
Open source software.
Machine Learning.
Python.
Open Source.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630866106719
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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