Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Practical Data Science Cookbook - Second Edition

Buy

Over 85 recipes to help you complete real-world data science projects in R and Python

About This Book

  • Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data
  • Get beyond the theory and implement real-world projects in data science using R and Python
  • Easy-to-follow recipes will help you understand and implement the numerical computing concepts

Who This Book Is For

If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python.

What You Will Learn

  • Learn and understand the installation procedure and environment required for R and Python on various platforms
  • Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python
  • Build a predictive model and an exploratory model
  • Analyze the results of your model and create reports on the acquired data
  • Build various tree-based methods and Build random forest

In Detail

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.

Style and approach

This step-by-step guide to data science is full of hands-on examples of real-world data science tasks. Each recipe focuses on a particular task involved in the data science pipeline, ranging from readying the dataset to analytics and visualization

(HTML tags aren't allowed.)

Getting Started with Dynamics NAV 2013 Application Development
Getting Started with Dynamics NAV 2013 Application Development

Using this tutorial will take you deeper into Dynamics NAV from a developer’s viewpoint, and allow you to unlock its full potential. The book covers developing an application from start to finish in logical, illuminating steps.

Overview

  • Understanding user requirements and drawing inspiration from...
Foundations of Python Network Programming: The comprehensive guide to building network applications with Python
Foundations of Python Network Programming: The comprehensive guide to building network applications with Python

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up,...

Building Hypermedia APIs with HTML5 and Node
Building Hypermedia APIs with HTML5 and Node

This book’s primary focus is on designing hypermedia APIs. That may seem a bit strange to some readers. There are many books on programming languages, data storage systems, web frameworks, etc. This is not one of those books. Instead, this book covers the nature of the messages passed between client and server, and how to improve...


Platform Based Design at the Electronic System Level: Industry Perspectives and Experiences
Platform Based Design at the Electronic System Level: Industry Perspectives and Experiences
Platform Based Design at the Electronic System Level presents a multi-faceted view of the set of problems that the electronic industry currently faces in the development and integration of complex heterogeneous systems (including both hardware and software components). It analyses and proposes solutions related to the...
Pharmacogenomics in Admixed Populations (Medical Intelligence Unit (Unnumbered))
Pharmacogenomics in Admixed Populations (Medical Intelligence Unit (Unnumbered))

Ethnic specificity has become an integral part of research in the overlapping sciences of pharmacogenetics and pharmacogenomics. Pharmacogenomics in Admixed Populations was conceived to compile pharmacogenetic/-genomic (PGx) data from peoples of four continents: Africa, America, Asia and Oceania, where admixture and population stratification...

Wiley CPAexcel Exam Review 2015 Focus Notes: Financial Accounting and Reporting
Wiley CPAexcel Exam Review 2015 Focus Notes: Financial Accounting and Reporting

All the information you need to pass the CPA exam on your own

Updated annually with the latest AICPA content guidelines, Wiley CPAexcel Exam Review 2015 Focus Notes provides a review of all the basic skills and concepts tested on the CPA exam and teaches important strategies to take the exam faster and more...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy