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Comet for Data Science

You're reading from Comet for Data Science Enhance your ability to manage and optimize the life cycle of your data science project

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781801814430

Length 402 pages

Edition 1st Edition

Tools

Gitlab

Concepts

Data Science

Author (1):

Angelica Lo Duca

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1 – Getting Started with Comet

2. Chapter 1: An Overview of Comet FREE CHAPTER

3. Chapter 2: Exploratory Data Analysis in Comet

4. Chapter 3: Model Evaluation in Comet

5. Section 2 – A Deep Dive into Comet

6. Chapter 4: Workspaces, Projects, Experiments, and Models

7. Chapter 5: Building a Narrative in Comet

8. Chapter 6: Integrating Comet into DevOps

9. Chapter 7: Extending the GitLab DevOps Platform with Comet

10. Section 3 – Examples and Use Cases

11. Chapter 8: Comet for Machine Learning

12. Chapter 9: Comet for Natural Language Processing

13. Chapter 10: Comet for Deep Learning

14. Chapter 11: Comet for Time Series Analysis

15. Other Books You May Enjoy

Introducing basic concepts related to time series analysis

A time series is an ordered sequence of values over time, representing the variation of a certain phenomenon. Examples of time series include the trend of the prices of a certain product, and the trend of rainfall in a given region over time. The following figure shows an example of time series representing the natural gas price from 2000 to 2020:

Figure 11.1 – The natural gas price time series

Data was extracted from the DataHub website and is available at https://datahub.io/core/natural-gas under the public domain and the use of Energy Information Administration (EIA) content license.

Time series analysis, also known as time series forecasting, is the study of the past values of a time series, with the purpose of building a model that predicts its future values.

In this section, you will learn the following basic concepts and aspects related to time series:

Loading a time series...

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Authors (1)

Angelica Lo Duca

Angelica Lo Duca

Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. She is also an external professor of Data Journalism at the University of Pisa. Her research includes Data Science, Data Journalism, and Web Applications. She used to work on Network Security, Semantic Web, Linked Data and Blockchain. She has published more than 40 scientific papers at national and international conferences and journals, and participated in many international projects and events, including as a member of the Program Committee.

See other products by Angelica Lo Duca

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