Molin Hands-On Data Analysis with Pandas

Efficiently perform data collection, wrangling, analysis, and visualization using Python
1. Auflage 2019
ISBN: 978-1-78961-280-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 740 Seiten

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

Autoren/Hrsg.

Molin, Stefanie

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Introduction to Data Analysis
- Working with Pandas DataFrames
- Data Wrangling with Pandas
- Aggregating Pandas DataFrames
- Data Visualization with Pandas and Matplotlib
- Plotting with Seaborn and Customization Techniques
- Financial Analysis with Pandas: Bitcoin and the Stock Market
- Rule-based Anomaly Detection: Catching Hackers
- Getting started with Machine Learning in Python
- Making Better Predictions: Optimizing ML Models
- ML Anomaly Detection: Catching Hackers, Part 2
- 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.