Molin Hands-On Data Analysis with Pandas

A Python data science handbook for data collection, wrangling, analysis, and visualization
2. Auflage 2021
ISBN: 978-1-80056-591-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 788 Seiten

No detailed description available for "Hands-On Data Analysis with Pandas".

Autoren/Hrsg.

Molin, Stefanie

Weitere Mitwirkende

Jee, Ken

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Introduction to Data Analysis
- Working with Pandas DataFrames
- Data Wrangling with Pandas
- Aggregating Pandas DataFrames

- Visualizing Data with Pandas and Matplotlib

- Plotting with Seaborn and Customization Techniques

- Financial Analysis - Bitcoin and the Stock Market
- Rule-Based Anomaly Detection

- Getting Started with Machine Learning in Python

- Making Better Predictions - Optimizing Models
- Machine Learning Anomaly Detection
- The Road Ahead

Über Autor(innen)

Molin Stefanie:

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.