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Author Klosterman, Stephen, author.

Title Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn / Stephen Klosterman.

Publication Info. Birmingham : Packt Publishing, [2019]

Copies

Location Call No. Status
 Rocky Hill - Downloadable Materials  EBSCO Ebook    Downloadable
Rocky Hill cardholders click here to access this title from EBSCO
Description 1 online resource (iv, 353 pages, 5 unnumbered pages) : illustrations
data file rda
Note Includes index.
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.
Summary This book will help readers get comfortable with using the Python environment for data science and will start them on a journey to mastering topics within machine learning.
Subject Python (Computer program language)
Machine learning.
Data mining.
Information visualization.
Data mining. (OCoLC)fst00887946
Information visualization. (OCoLC)fst00973185
Machine learning. (OCoLC)fst01004795
Python (Computer program language) (OCoLC)fst01084736
Other Form: Print version: Klosterman, Stephen. Data science projects with Python 9781838551025
ISBN 9781838552602 (electronic book)
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