Atwan Time Series Analysis with Python Cookbook

Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
1. Auflage 2022
ISBN: 978-1-80107-126-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 630 Seiten

No detailed description available for "Time Series Analysis with Python Cookbook".

Autoren/Hrsg.

Atwan, Tarek A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Getting Started with Time Series Analysis
- Reading Time Series Data from Files
- Reading Time Series Data from Databases
- Persisting Time Series Data to Files
- Persisting Time Series Data to Databases
- Working with Date and Time in Python
- Handling Missing Data
- Outlier Detection Using Statistical Methods
- Exploratory Data Analysis and Diagnosis
- Building Univariate Time Series Models Using Statistical Methods
- Additional Statistical Modeling Techniques for Time Series
- Forecasting Using Supervised Machine Learning
- Deep Learning for Time Series Forecasting
- Outlier Detection Using Unsupervised Machine Learning
- Advanced Techniques for Complex Time Series

Über Autor(innen)

Atwan Tarek A.:
Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.