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Packt - Mastering Python for Data Science (PDF) {Zer07} [BЯ]

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Description

 							
  
   
Explore the world of
data science through Python and learn how to make sense of data
About This BookMaster data science methods using
Python and its librariesCreate data visualizations and mine for patternsAdvanced techniques for the four fundamentals of
Data Science with Python - data mining, data analysis, data visualization, and machine learningWho This Book Is For
If
you are a Python developer who wants to master the world of data science then this book is for you. Some knowledge of
data science is assumed.
What You Will LearnManage data and perform linear algebra in PythonDerive inferences from
the analysis by performing inferential statisticsSolve data science problems in PythonCreate high-end visualizations
using PythonEvaluate and apply the linear regression technique to estimate the relationships among variables.Build
recommendation engines with the various collaborative filtering algorithmsApply the ensemble methods to improve your
predictionsWork with big data technologies to handle data at scaleIn Detail
Data science is a relatively new knowledge
domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats
to work with data and to derive value from it. The Python programming language, beyond having conquered the scientific
community in the last decade, is now an indispensable tool for the data science practitioner and a must-know tool for
every aspiring data scientist. Using Python will offer you a fast, reliable, cross-platform, and mature environment for
data analysis, machine learning, and algorithmic problem solving.
This comprehensive guide helps you move beyond
the hype and transcend the theory by providing you with a hands-on, advanced study of data science.
Beginning with
the essentials of Python in data science, you will learn to manage data and perform linear algebra in Python. You will
move on to deriving inferences from the analysis by performing inferential statistics, and mining data to reveal hidden
patterns and trends. You will use the matplot library to create high-end visualizations in Python and uncover the
fundamentals of machine learning. Next, you will apply the linear regression technique and also learn to apply the
logistic regression technique to your applications, before creating recommendation engines with various collaborative
filtering algorithms and improving your predictions by applying the ensemble methods.
Finally, you will perform
K-means clustering, along with an analysis of unstructured data with different text mining techniques and leveraging the
power of Python in big data analytics.
Style and approach
This book is an easy-to-follow, comprehensive guide on
data science using Python. The topics covered in the book can all be used in real world scenarios.
 
  
 

  Publisher: Packt Publishing (August 31, 2015)
  Language:
English
  ISBN-10: 1784390151
  ISBN-13: 978-1784390150
  
   						

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