Jafari Hands-On Data Preprocessing in Python

Learn how to effectively prepare data for successful data analytics
1. Auflage 2022
ISBN: 978-1-80107-995-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 602 Seiten

No detailed description available for "Hands-On Data Preprocessing in Python".

Autoren/Hrsg.

Jafari, Roy

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

Table of Contents - Review of the Core Modules of NumPy and Pandas
- Review of Another Core Module - Matplotlib
- Data – What Is It Really?
- Databases
- Data Visualization
- Prediction
- Classification
- Clustering Analysis
- Data Cleaning Level I - Cleaning Up the Table
- Data Cleaning Level II - Unpacking, Restructuring, and Reformulating the Table
- Data Cleaning Level III- Missing Values, Outliers, and Errors
- Data Fusion and Data Integration
- Data Reduction
- Data Transformation and Massaging
- Case Study 1 - Mental Health in Tech
- Case Study 2 - Predicting COVID-19 Hospitalizations
- Case Study 3: United States Counties Clustering Analysis
- Summary, Practice Case Studies, and Conclusions

Über Autor(innen)

Jafari Roy:
Roy Jafari, Ph.D. is an assistant professor of business analytics at the University of Redlands. Roy has taught and developed college-level courses that cover data cleaning, decision making, data science, machine learning, and optimization. Roy's style of teaching is hands-on and he believes the best way to learn is to learn by doing. He uses active learning teaching philosophy and readers will get to experience active learning in this book. Roy believes that successful data preprocessing only happens when you are equipped with the most efficient tools, have an appropriate understanding of data analytic goals, are aware of data preprocessing steps, and can compare a variety of methods. This belief has shaped the structure of this book.