Data Science using R Programming

Repo includes programs

• Explore the dataset for different case study examples with different commands.
• Use GGplot for scatter, boxplot, bar graph
• Probability for Binomial distribution and Normal distribution
• Hypothesis on one-sided & two-sided tail
• Single & Multiple linear regression model
• Nearest Neighbor algorithm
• KNN

Pre-requisites Required

R studio and R Programming to be installed using their official documentation.

• Install both simultaneously & ensure version compatability. If either is already downloaded, upgrade it to latest version.

Execution

• Run the given code by downloading the file and ensure respective csv file is also in same directory
• Set the directory using setwd command.
• Install the required packages:

  • Ensure to have stable internet

  • In the R studio console, copy & paste the command

    install.packages("ggplot2")
    
    

    install.packages("class")
    
    

    install.packages("plotrix")
    
    

    install.packages("caret")
    
    

    install.packages("tidyr")
    
    

    install.packages("colorspace")
    
    

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