Main Topics Covered for this course such as
- Find Mean , Median and Mode ?

- Measuring the Dispersion of Data

Solve the following terms :
Quartile Q1 and Q3
Inter Quartile Range = IQR
Five Number Summary Min , Q1 , Median(Q2) , Q3 , Max
Box plot
Outlier
Histogram Analysis

Q.No.1:
24,25,27,52,47,45,39,40,38,40,36,40,30,68,27,29,35,35,68,35,45,45,52,45,58,59,61,67,61,68,38,25
Arranging Order:
24,25,25,27,27,29,30,35,35,35,36,38,38,39,40,40,40,45,45,45,45,47,52,52,58,59,61,61,67,68,68,68
Min = 24 and Max = 68
We make 6 , 7 , 8 classes so let we make 6 class(difference).
Q.No.2:

15,13,19,16,21,16,20,22,20,35,33,35,36,40,35,45,35,46,22,52,30,33,23,25,25,25,25,70
Arranging Order:
13 , 15 , 16 , 16 , 19 , 20 , 20 , 21 , 22 , 22 , 23 , 25 , 25 , 25 , 25 , 30 , 33 , 33 , 35 , 35 , 35, 35 , 36 , 40 , 45, 46 , 52 , 70
Min = 13 and Max = 70
We make 6 , 7 , 8 , 10 classes so let we make 10 class(difference).
Coorelation Analysis

Decision Tree Induction in Categorical Form

Decision Tree Induction by 2nd Method

Chi – Square Test

Apriori Algorithm
Q.No.1: Given the following five transactions let the min-support = 60 % and min-confidence = 80%. ?

Q.No.2: Given the following Nine transactions let the min-support = 22 % and min-confidence = 70%. ?

Q.No.3: Given the following five transactions let the min-support = 50 % and min-confidence = 75%. ?

A ) Find all Frequent itemsets using Apriori approaches ?
B ) List of all strong Association Rules ?
Naive Bayes Classifier

Agglomerative Clustering Algorithm Solved
as Numeric ( Max and Minimum Distance )

Agglomerative Clustering Algorithm Solved
as Float ( Minimum Distance )

Confusion Matrices

K – Means Algorithm

Q. No . 1 : Following is the age of 10 objects . Perform one iteration of K – Mean algorithm on this
data considering object 1 and object 3 as centroids . Another iteration with object 1 and object
5 as centroids . Which set of centroids gives better clusters . Consider the value of K as 2 .
Birch Algorithm

Q.No.1 : x1 = 0.5 , x2 = 0.25 , x3 = 0 , x4 = 0.65 , x5 = 1 , x6 = 1.4 , x7 = 1.1
Threshold = T = 0.15 and No. of Entries in leaf = L = 2
Branch of Factor = B = 2