Practical Data Science Cookbook

Practical Data Science Cookbook
Author :
Publisher : Packt Publishing Ltd
Total Pages : 428
Release :
ISBN-10 : 9781787123267
ISBN-13 : 178712326X
Rating : 4/5 (26X Downloads)

Book Synopsis Practical Data Science Cookbook by : Prabhanjan Tattar

Download or read book Practical Data Science Cookbook written by Prabhanjan Tattar and published by Packt Publishing Ltd. This book was released on 2017-06-29 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Practical Data Science Cookbook Related Books

Practical Data Science Cookbook
Language: en
Pages: 428
Authors: Prabhanjan Tattar
Categories: Computers
Type: BOOK - Published: 2017-06-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

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
Practical Data Analysis Cookbook
Language: en
Pages: 384
Authors: Tomasz Drabas
Categories: Computers
Type: BOOK - Published: 2016-04-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Over 60 practical recipes on data exploration and analysis About This Book Clean dirty data, extract accurate information, and explore the relationships between
Practical Data Analysis
Language: en
Pages: 330
Authors: Hector Cuesta
Categories: Computers
Type: BOOK - Published: 2016-09-30 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data an
Practical Data Science with R
Language: en
Pages: 416
Authors: Nina Zumel
Categories: Computers
Type: BOOK - Published: 2014-04-10 - Publisher: Manning Publications

DOWNLOAD EBOOK

Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cas
Practical Data Science with Python
Language: en
Pages: 621
Authors: Nathan George
Categories: Computers
Type: BOOK - Published: 2021-09-30 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Learn to effectively manage data and execute data science projects from start to finish using Python Key FeaturesUnderstand and utilize data science tools in Py