Practical Data Science Cookbook
89 hands-on recipes to help you complete real-world data science projects in R and Python
|Price||$29.99 - $58.44
|Authors||Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta|
|Format||Paper book / ebook (PDF)|
Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide 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 in the two most popular programming languages for data analysis - R and Python.
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Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates...
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R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide vari...
Price: $30.99 | Publisher: Packt Publishing | Release: 2014
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Price: $34.99 | Publisher: Packt Publishing | Release: 2018
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Price: $44.99 | Publisher: Packt Publishing | Release: 2018