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Data Science Projects with Python

You're reading from   Data Science Projects with Python A case study approach to successful data science projects using Python, pandas, and scikit-learn

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781838551025
Length 374 pages
Edition 1st Edition
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Author (1):
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Stephen Klosterman Stephen Klosterman
Author Profile Icon Stephen Klosterman
Stephen Klosterman
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Table of Contents (9) Chapters Close

Data Science Projects with Python
Preface
1. Data Exploration and Cleaning 2. Introduction toScikit-Learn and Model Evaluation FREE CHAPTER 3. Details of Logistic Regression and Feature Exploration 4. The Bias-Variance Trade-off 5. Decision Trees and Random Forests 6. Imputation of Missing Data, Financial Analysis, and Delivery to Client Appendix

Data Science Projects with Python

Copyright © 2019 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Author: Stephen Klosterman

Technical Reviewer: Richard Ackon

Managing Editor: Mahesh Dhyani

Acquisitions Editor: Koushik Sen

Production Editor: Samita Warang

Editorial Board: David Barnes, Ewan Buckingham, Simon Cox, Manasa Kumar, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Erol Staveley, Ankita Thakur, Mohita Vyas, and Jonathan Wray

First Published: April 2019

Production Reference: 1300419

ISBN: 978-1-83855-102-5

Published by Packt Publishing Ltd.

Livery Place, 35 Livery Street

Birmingham B3 2PB, UK

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