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(DataPAGaIVIES ab (KIT-651), , , , ‘Course Outcome ( CO) Bloom's Knowledge Level (KL), , , , , , ‘At the end of course , the student will be able to, , , , , , , , , , , , , , , , , , , , CO1 | Implement numerical and statistical analysis on various data sources kK, CO2 | Apply data preprocessing and dimensionality reduction methods on raw data K, CO3 | Implement linear regression technique on numeric data for prediction &, CO4 _ | Execute clustering and association rule mining algorithms on different datasets &, COS | Implement and evaluate the performance of KNN algorithm on different datasets Ks, Ke, DETAILED SYLLABUS, T. To get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND) using, ink., , 2. To perform data imporvexport (.CSV, .XLS, .TXT) operations using data frames in R., ‘To get the input matrix from user and perform Matrix addition, subtraction, multiplication, inverse transpose and,, , division operations using vector concept in R., , ‘To perform statistical operations (Mean, Median, Mode and Standard deviation) using R., , ‘To perform data pre-processing operations i) Handling Missing data ii) Min-Max normalization, ‘To perform dimensionality reduction operation using PCA for Houses Data Set, , ‘To perform Simple Linear Regression with R., , ‘To perform K-Means clustering operation and visualize for iris data set, , , , , Sem awe, , ‘Write R script to diagnose any disease using KNN classification and plot the results., 10. To 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 ete. )