Python Data Science Essentials

Massaron, Luca, Boschetti, Alberto

ISBN 10: 1785280422 / ISBN 13: 9781785280429

Verlag: Packt Publishing, Limited, 2015

Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Bestandsnummer des Verkäufers 18313173-6

Inhaltsangabe:

Key Features

• Quickly get familiar with data science using Python
• Save time - and effort - with all the essential tools explained
• Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience

Book Description

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 real-world 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

1. First Steps
2. Data Munging
3. The Data Science Pipeline
4. Machine Learning
5. Social Network Analysis
6. Visualization

Bibliografische Details

Titel: Python Data Science Essentials
Verlag: Packt Publishing, Limited
Erscheinungsdatum: 2015
Einband: Softcover
Zustand: Very Good