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Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. 
David Paper,Data Science Fundamentals for Python and MongoDB,Apress,1484235967,Big data,Computer science,Python (Computer program language),B,COMPUTER,COMPUTERS / Databases / General,COMPUTERS / Programming Languages / Python,Computer Applications,Computer/Databases,Computers/Languages - Python,Data Science; Simulation; Monte Carlo Simulation; Linear Algebra; Vector and Matrix Math; Stochastic Simulation; Randomness; Gradient Descent; Data Wrangling; Data Cleansing; Heat Map; MongoDB; NoSQL; JSON; Python Pandas Library; Python NumPy Library; Data Visualization; Uniform Distribution; Normal Distribution,Data Science;Simulation;Monte Carlo Simulation;Linear Algebra;Vector and Matrix Math;Stochastic Simulation;Randomness;Gradient Descent;Data Wrangling;Data Cleansing;Heat Map;MongoDB;NoSQL;JSON;Python Pandas Library;Python NumPy Library;Data Visualization;Uniform Distribution;Normal Distribution,Databases,General Adult,How-to/Do-it-yourself,Informatik, EDV / Datenkommunikation, Netzwerke,Non-Fiction,Professional and Applied Computing,Programming scripting languages general,Python,Python (Computer program language),United States,COMPUTERS / Databases / General,COMPUTERS / Programming Languages / Python,Computers/Languages - Python,Databases,Programming scripting languages general,Informatik, EDV / Datenkommunikation, Netzwerke

Data Science Fundamentals for Python and MongoDB David Paper 9781484235966 Books Reviews :

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. 

David Paper,Data Science Fundamentals for Python and MongoDB,Apress,1484235967,Big data,Computer science,Python (Computer program language),B,COMPUTER,COMPUTERS / Databases / General,COMPUTERS / Programming Languages / Python,Computer Applications,Computer/Databases,Computers/Languages - Python,Data Science; Simulation; Monte Carlo Simulation; Linear Algebra; Vector and Matrix Math; Stochastic Simulation; Randomness; Gradient Descent; Data Wrangling; Data Cleansing; Heat Map; MongoDB; NoSQL; JSON; Python Pandas Library; Python NumPy Library; Data Visualization; Uniform Distribution; Normal Distribution,Data Science;Simulation;Monte Carlo Simulation;Linear Algebra;Vector and Matrix Math;Stochastic Simulation;Randomness;Gradient Descent;Data Wrangling;Data Cleansing;Heat Map;MongoDB;NoSQL;JSON;Python Pandas Library;Python NumPy Library;Data Visualization;Uniform Distribution;Normal Distribution,Databases,General Adult,How-to/Do-it-yourself,Informatik, EDV / Datenkommunikation, Netzwerke,Non-Fiction,Professional and Applied Computing,Programming scripting languages general,Python,Python (Computer program language),United States,COMPUTERS / Databases / General,COMPUTERS / Programming Languages / Python,Computers/Languages - Python,Databases,Programming scripting languages general,Informatik, EDV / Datenkommunikation, Netzwerke

Data Science Fundamentals for Python and MongoDB [David Paper] on . divBuild the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts

 

Product details Paperback 228 pages Publisher Apress; 1st ed. edition (May 11, 2018) Language English ISBN-10 9781484235966 ISBN-13 978-1484235966 ASIN 1484235967

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