Book description
Become an efficient data science practitioner by thoroughly understanding the key concepts of Python
In Detail
The book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.
In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and realworld datasets.
What You Will Learn
Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux
Get data ready for your data science project
Manipulate, fix, and explore data in order to solve data science problems
Set up an experimental pipeline to test your data science hypothesis
Choose the most effective and scalable learning algorithm for your data science tasks
Optimize your machine learning models to get the best performance
Explore and cluster graphs, taking advantage of interconnections and links in your data
Table of contents

Python Data Science Essentials
 Table of Contents
 Python Data Science Essentials
 Credits
 About the Authors
 About the Reviewers
 www.PacktPub.com
 Preface
 1. First Steps
 2. Data Munging
 3. The Data Science Pipeline

4. Machine Learning
 Linear and logistic regression
 Naive Bayes
 The kNearest Neighbors
 Advanced nonlinear algorithms
 Ensemble strategies
 A peek into Natural Language Processing (NLP)
 An overview of unsupervised learning
 Summary
 5. Social Network Analysis
 6. Visualization
 Index
Product information
 Title: Python Data Science Essentials
 Author(s):
 Release date: April 2015
 Publisher(s): Packt Publishing
 ISBN: 9781785280429
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