18CSL76 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING LABORATORY

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING LABORATORY

 (Effective from the academic year 2018 -2019) 

SEMESTER – VII

Program List:

1. Implement A* Search algorithm

2. Implement AO* Search algorithm.

3. Implement Candidate-Elimination algorithm

4. Decision tree based ID3 algorithm

5. Implement Backpropagation algorithm

6. implement the naïve Bayesian classifier.

7. EM algorithm to cluster a set of data stored in a .CSV file.

8. Implement k-Nearest neighbour algorithm.

9. Implement the non-parametric Locally Weighted Regression algorithm

CLICK HERE TO DOWNLOAD LAB MANUAL

Laboratory Outcomes: The student should be able to:

• Implement and demonstrate AI and ML algorithms.
• Evaluate different algorithms. 

Conduct of Practical Examination:

•  For laboratories having only one part: Students are allowed to pick one experiment from the lot with equal opportunity.
• For laboratories having PART A and PART B: Students are allowed to pick one experiment from PART A and one experiment from PART B, with equal opportunity.
• Change of experiment is allowed only once and marks allotted for the procedure to be made zero of the changed part only. 
• Marks Distribution (Course to change in accordance with university regulations)
• For laboratories having only one part – Procedure + Execution + Viva-Voce: 15+70+15 = 100 Marks.

For laboratories having PART A and PART B : 

• i. Part A – Procedure + Execution + Viva = 6 + 28 + 6 = 40 Marks  
• ii. Part B – Procedure + Execution + Viva = 9 + 42 + 9 = 60 Marks