Galli Python Feature Engineering Cookbook

Over 70 recipes for creating, engineering, and transforming features to build machine learning models
1. Auflage 2020
ISBN: 978-1-78980-782-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 372 Seiten

No detailed description available for "Python Feature Engineering Cookbook".

Autoren/Hrsg.

Galli, Soledad

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Foreseeing Variable Problems When Building ML Models
- Imputing Missing Data

- Encoding Categorical Variables
- Transforming Numerical Variables
- Performing Variable Discretisation
- Working with Outliers

- Deriving Features from Dates and Time Variables
- Performing Feature Scaling
- Applying Mathematical Computations to Features
- Creating Features with Transactional and Time Series Data
- Extracting Features from Text Variables

Über Autor(innen)

Galli Soledad:

Soledad Galli is a lead data scientist with more than 10 years of experience in world-class academic institutions and renowned businesses. She has researched, developed, and put into production machine learning models for insurance claims, credit risk assessment, and fraud prevention. Soledad received a Data Science Leaders' award in 2018 and was named one of LinkedIn's voices in data science and analytics in 2019. She is passionate about enabling people to step into and excel in data science, which is why she mentors data scientists and speaks at data science meetings regularly. She also teaches online courses on machine learning in a prestigious Massive Open Online Course platform, which have reached more than 10,000 students worldwide.