Artifical_intiligence_worksheet-exp-4.1.docx

1. Experiment no. – 4.1
Student Name: Shruti Ojha UID: 19BCS1708
Branch: CSE - 11 Section/Group: ‘C’
Semester:5th
Date of Performance:04 Sep 2021
Subject Name:Artificial intelligence Subject Code: CSP - 303
& Machine learning Lab
1. Aim/Overview of the practical: Create a vector and use in built functions available in R
to fine mean, median and mode.
2. 2. Task to be done: To find mean, median and mode
3. Algorithm :
Step 1: Start.
Step 2: print “Hello World”
Step 3: End
[Cite your source here.]

2. 4. Programming Code:
5. Output:
x <- c(17,08,33,44.2,84,22,23,24,08,45,-
32,82,-5)
print(mean(x))
print(median(x))
getmode <- function(x) {
uniqv <- unique(x)
uniqv[which.max(tabulate(match(x,
uniqv)))]
}
result <- getmode(x)
print(result)

3. 6. Learning outcomes (What I have learnt):
1. learn to print a hello world.
2. learn how to use RStudio
7. Evaluation Grid (To be created as per the SOP and Assessment guidelines by the faculty):
Sr. No. Parameters Marks Obtained Maximum Marks
1.
2.
3.