List of Experiments / Activities
- 1To get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND) using in R.
- 2To perform data import/export (.CSV, .XLS, .TXT) operations using data frames in R.
- 3To get the input matrix from user and perform Matrix addition, subtraction, multiplication, inverse transpose and division operations using vector concept in R.
- 4To perform statistical operations (Mean, Median, Mode and Standard deviation) using R.
- 5To perform data pre-processing operations i) Handling Missing data ii) Min-Max normalization
- 6To perform dimensionality reduction operation using PCA for Houses Data Set
- 7To perform Simple Linear Regression with R.
- 8To perform K-Means clustering operation and visualize for iris data set
- 9Write R script to diagnose any disease using KNN classification and plot the results.
- 10To perform market basket analysis using Association Rules (Apriori).
- Note: The Instructor may add/delete/modify/tune experiments, wherever he/she feels in a justified manner It is also suggested that open source tools should be preferred to conduct the lab (R , Python etc. )
Course Outcomes (COs)
After completion of the course student will be able to:
- CO1Implement numerical and statistical analysis on various data sourcesK3
- CO2Apply data preprocessing and dimensionality reduction methods on raw dataK3
- CO3Implement linear regression technique on numeric data for predictionK3
- CO4Execute clustering and association rule mining algorithms on different datasetsK3
- CO5Implement and evaluate the performance of KNN algorithm on different datasetsK3, K4
Previous Year Papers
Loading…
🙏 Aapke juniors aur doston ko aapki zarurat hai!
Aapke paas is subject ka koi purana paper hai? Upload kijiye. Aapka ek paper kisi junior ka exam aasaan bana sakta hai.
Upload previous year paperOfficial AKTU syllabus
This subject is on page 33 of the original AKTU PDF.
Found a mistake or have a suggestion?
Send it on WhatsApp - the subject and page link are already filled in.