List of Experiments / Activities
- DATA ANALYTICS LAB
- 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
Official AKTU syllabus
This subject is on page 40 of the original AKTU PDF.