Book Image

Applied Data Science with Python and Jupyter

By : Alex Galea
Book Image

Applied Data Science with Python and Jupyter

By: Alex Galea

Overview of this book

Getting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts. In this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data. You'll start with the basics of Jupyter, which will be the backbone of the book. After familiarizing ourselves with its standard features, you'll look at an example of it in practice with our first analysis. In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented. Finally, the book ends by looking at data collection techniques. You'll see how web data can be acquired with scraping techniques and via APIs, and then briefly explore interactive visualizations.

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Table of Contents (6 chapters)
Applied Data Science with Python and Jupyter
Applied Data Science with Python and Jupyter
Preface
Preface
Free Chapter
1
Jupyter Fundamentals
Jupyter Fundamentals
Introduction
Basic Functionality and Features
Our First Analysis - The Boston Housing Dataset
Summary
2
Data Cleaning and Advanced Machine Learning
Data Cleaning and Advanced Machine Learning
Introduction
Preparing to Train a Predictive Model
Training Classification Models
Summary
3
Web Scraping and Interactive Visualizations
Web Scraping and Interactive Visualizations
Introduction
Scraping Web Page Data
Interactive Visualizations
Summary
Appendix A
Appendix A
Chapter 1: Jupyter Fundamentals
Chapter 2: Data Cleaning and Advanced Machine
Chapter 3: Web Scraping and Interactive Visualizations

Applied Data Science with Python and Jupyter

Copyright © 2018 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: Alex Galea

Reviewer: Elie Kawerk

Managing Editor: Mahesh Dhyani

Acquisitions Editor: Aditya Date

Production Editor: Samita Warang

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

First Published: October 2018

Production Reference: 2051218

ISBN: 978-1-78995-817-1

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