Machine Learning Laboratory 21AIL66

Course Code: 21AIL66

Credits: 01

CIE Marks: 50

SEE Marks: 50

Total Marks: 100

Total Hours of Pedagogy: 24

Teaching Hours/Weeks: [L:T:P:S] 0:0:2:0

PROGRAM 1

1. Illustrate and Demonstrate the working model and principle of Find-S algorithm.

PROGRAM 2

2. Demonstrate the working model and principle of candidate elimination algorithm.

PROGRAM 3

3. To construct the Decision tree using the training data sets under supervised learning concept.

PROGRAM 4

4. To understand the working principle of Artificial Neural network with feed forward and feed backward principle.

PROGRAM 5

5. Demonstrate the text classifier using Naïve bayes classifier algorithm.

PROGRAM 6

6. Demonstrate and Analyse the results sets obtained from Bayesian belief network Principle.

PROGRAM 7

7. Implement and demonstrate the working model of K-means clustering algorithm with Expectation Maximization Concept.

PROGRAM 8

8. Demonstrate and analyse the results of classification based on KNN Algorithm.

PROGRAM 9

9. Understand and analyse the concept of Regression algorithm techniques.

PROGRAM 10

10. Implement and demonstrate classification algorithm using Support vector machine Algorithm.