Skip to main content
Have a personal or library account? Click to login
Managing Datasets and Models Cover

Managing Datasets and Models

Publisher:Mercury Learning and Information
By:   
Paid access
|Feb 2023
Product purchase options
Print: Available at Amazon
Table of contents

Table of contents

Frontmatter

Contents

Preface

Chapter 1: Working with Data

Chapter 2: Outlier and Anomaly Detection

Chapter 3: Cleaning Datasets

Chapter 4: Working with Models

Chapter 5: Matplotlib and Seaborn

Appendix: Working with awk

Index

10 chapters available

PDF ISBN: 978-1-68392-951-2 | E-Pub ISBN: 978-1-68392-950-5 | Paperback ISBN: 978-1-68392-952-9 | DOI: https://doi.org/10.1515/9781683929512
Publisher: Mercury Learning and Information
Copyright owner: © 2023 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2023
Language: English
Pages: 368
Keywords:
sweetviz,
matplotlib,
visualization,
skimpy,
data analysis,
python-based code,
model,
anomaly detection,
knn algorithm,
seaborn,
dataset,
management / teams/ leadership,
data
Related subjects:
Computer sciences,
Programming and languages,
Databases and data mining,
Computer sciences, other

People also read

Book

Data Literacy with Python

OSWALD CAMPESATO
Book

Data Science Projects with Python

Stephen Klosterman Klosterman
Book

Managing Data Science

Kirill Dubovikov
Book
Coming soon

The Data Science Workshop

Anthony So So, Thomas Joseph, Robert Thas John
Book

Practical Data Science with Python

Nathan George George
Book

Data Cleaning and Exploration with Machine Learning

Tirupathi Dockara
Book

Cleaning Data for Effective Data Science

David Mertz
Book

Machine Learning with Python

Oliver Theobald
Book

Data Analysis with Python

David Taieb
Book
Coming soon

The Data Analysis Workshop

Gururajan Govindan Govindan, Shubhangi Hora Hora, Konstantin Palagachev Palagachev