Klosterman Data Science Projects with Python

A case study approach to successful data science projects using Python, pandas, and scikit-learn
1. Auflage 2019
ISBN: 978-1-83855-260-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 374 Seiten

No detailed description available for "Data Science Projects with Python".

Autoren/Hrsg.

Klosterman, Stephen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Data Exploration and Cleaning
- Introduction to Scikit-Learn and Model Evaluation
- Details of Logistic Regression and Feature Exploration
- The Bias-Variance Trade-off
- Decision Trees and Random Forests
- Imputation of Missing Data, Financial Analysis, and Delivery to Client

Über Autor(innen)

Klosterman Stephen:

Stephen Klosterman is a Machine Learning Data Scientist with a background in math, environmental science, and ecology. His education includes a Ph.D. in Biology from Harvard University, where he was an assistant teacher of the Data Science course. His professional experience includes work in the environmental, health care, and financial sectors. At work, he likes to research and develop machine learning solutions that create value, and that stakeholders understand. In his spare time, he enjoys running, biking, paddleboarding, and music.