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Introduction To machine Learning | letsbug

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R Language  R is a programming language and software environment for statistical analysis, graphics representation and reporting. R is freely available under the GNU General Public License, and pre-compiled binary version are provided for various operating systems like Linux, Window and Mac. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. Machine Learning Machine Learning must be one of the fastest growing fields in computer science. It is not only the data is continuously getting "bigger" but also the theory to process it and turn it into knowledge. There are several ways to implement machine learning techniques, however the most commonly used ones are supervised and unsupervised learning. Supervised Learning And Unsupervised Learning Supervised Learning is all about operating to a known expectation and in this case, what needs to as "labeled" datasets. It inclu...

MCQs On Big Data | Data Analytics With R | Weka Machine Learning | letsbug

MCQs On Big Data  |  Data Analytics With R | Weka Machine Learning

Getting Started with R | R Language Practical Slip With Solution - letsbug

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    In this article we are solving some R programming questions that might get asked in an exam. These examples are simple and after solving these one will have a better understanding of R language . But before we start make sure you have a IDE or a text editor where you can run your R program. You should also have R language installed on your system for it to work.     Now let's start fire up you code editor. I am using VS code for R , not necessary you can have R Studio .   Now let's start      R language practicals 1. R program to find the maximum and the minimum value of a given vector. code: x = c ( 10 , 20 , 30 , 25 , 9 , 36 ) print ( "Original Value" ) print ( x ) print ( "Maximum value of the above Vector" ) print ( max ( x )) print ( "Minimum value of the above Vector" ) print ( min ( x )) output: [1] "Original Value" [1] 10 20 30 25  9 36 [1] "Maximum value of the above Vector" [1] 36 [1] "Minimum value of the ...

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