Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By : Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By: Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda

Overview of this book

As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

About the Reviewer

Alberto Boschetti is a data scientist, with strong expertise in signal processing and statistics. He holds a PhD in telecommunication engineering and currently lives and works in London. In his work projects he daily faces challenges spanning among natural language processing (NLP), machine learning, and distributed processing. He is very passionate about his job and he always tries to be updated on the latest development of data science technologies, attending meetups, conferences and other events. He is the author of Python Data Science Essentials, Regression Analysis with Python, and Large Scale Machine Learning with Python, all published by Packt.

I would like to thank my family, friends, and colleagues. Also, a big thanks to the open source community.

Abhinav Rai has been working as a Data Scientist for nearly a decade, currently working at Microsoft. He has experience working in telecom, retail marketing, and online advertisement. His areas of interest include the evolving techniques of Machine Learning and the associated technologies. He is especially more interested in analyzing large and humongous datasets and likes to generate deep insights in such scenarios. Academically holding a double master's degree in Mathematics from Deendayal Upadhyay Gorakhpur University with an NBHM scholarship and in Computer Science from Indian Statistical Institute, rigor and sophistication is a surety with his analytical deliveries.