VTU-AIML-Lab-Programs

VTU-AI-ML-Lab-Programs-18CSL76-scheme

AI and ML lab programs VTU 18 Scheme 18CSL76 Computer Science and Information Science 7th semester

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

LABORATORY

(Effective from the academic year 2018 -2019)

SEMESTER – VII

Course Code 18CSL76         CIE Marks 40

Number of Contact Hours/Week 0:0:2        SEE Marks 60

Total Number of Lab Contact Hours 36        Exam Hours 03

Credits – 2

Course Learning Objectives: This course (18CSL76) will enable students to:

• Implement and evaluate AI and ML algorithms in Python programming language.

Programs List:

1. Implement A* Search algorithm.

• Click here for A* Algorithm(Execute on your Jupyter Notebook or any other IDE).
• A* star Algorithm for Reference

2. Implement AO* Search algorithm.

• Click here for AO* Algorithm(Execute on your Jupyter Notebook or any other IDE).
• AO* star Algorithm for Reference

3. Implement candidate Elimination algorithm.

• Click here for Candidate Elimination Algorithm).
• Candidate Elimination Algorithm for Reference).

4. Implement ID3 algorithm.

• Click here for ID3 Algorithm(Execute on your Jupyter Notebook or any IDE).
• ID3 Algorithm for Reference.

5. Backpropagation Algorithm.

• Click here for Backpropagation Algorithm
• Backpropagation Algorithm Reference.

6. Naive Bayesian Classifier Algorithm.

• Click here for Naive Bayesian Classifier Algorithm
• Naive Bayesian Algorithm for Reference.

7. EM Algorithm

• Click here for EM Algorithm
• EM Algorithm for Reference

8. KNN Algorithm.

• Click here for KNN Algorithm
• KNN Algorithm for Reference

9. Regression Algorithm

• Click here for Regression Algorithm
• Regression Algorithm for Reference