IGNOU MCSL 228 SOLVED ASSIGNMENT

Included:

MCSL 228 (January 2025 - July 2025) - ENGLISH

Course Code : MCSL-228

Course Title : AI and Machine Learning Lab

Assignment Number : MCA_NEW(III)/L-228/Assign/2025

Maximum Marks : 100

Weightage : 30%

Last Dates for Submission : 30th April, 2025 (for January session)

31st October, 2025 (for July session)

This assignment has 8 Questions for 40 marks. Answer all the questions. Your Lab Record will carry 40 Marks. Rest 20 marks are for viva voce. You may use illustrations and diagrams to enhance the explanation. Please go through the guidelines regarding assignments given in the programme guide for the format of presentation.

Note: You must execute the program and submit the program logic, sample input and output along with the necessary documentation. Assumptions can be made wherever necessary.

Q1: Write a Python Program to implement Breadth First Search.

Q2: Write a Python Program to implement Min-Max Algorithm.

Q3: Write a Python Program to implement the Backtracking approach to solve N Queen's problem

Q4: Write a Python Program to implement A* Algorithm.

Q5: Write a Python Program to implement Naïve Bayes Algorithm for data classification, choose dataset of your own choice.

Q6: Write a Python Program to implement Polynomial Regression on a dataset of your own choice.

Q7: Take a Data set as per your choice, implement and execute on different inputs of K-Means clustering algorithm.

Q8: Write a Python Program to implement FP tree growth Algorithm on a dataset of your own choice.

MCSL 228 (January 2026 - July 2026) - ENGLISH

Course Code

MCSL-228

Course Title

AI and Machine Learning Lab

Assignment Number

MCA_NEW(III)/L-228/Assign/2026

Maximum Marks

Weightage

100

30%

Last Dates for Submission

: :

30th April, 2026 (for January session) 31st October, 2026 (for July session)

This assignment has eight questions. Answer all the questions. The total marks for all the questions are 40, and the maximum marks for each question are mentioned. Your Lab Records will carry 40 Marks. The remaining 20 marks are for viva voce. You may use illustrations and diagrams to enhance the explanations. Please go through the guidelines regarding assignments given in the programme guide for the format of presentation.

Note: You must execute the program and submit the program logic, sample input, and output along with the necessary documentation. Assumptions can be made wherever necessary.

Q1: Write a Python Program to implement Depth First Search.

Q2:Implement the Water Jug problem in Python.

Q3:Write a Python Program to implement the Min-Max Algorithm.

Q4: Write a Python Program to implement the Backtracking approach to solve the N Queens problem

Q5:Discuss the Naïve Bayes algorithm and write the Python code to demonstrate the execution of the Naïve Bayes algorithm on the dataset of your choice.

Q6: Implement multiple regression in Python. Take the dataset of your choice as input.

Q7:Take a real-time example to implement the ID3 decision tree classification algorithm in Python.

Q8:Write a Python Program to implement the Apriori algorithmona dataset of your own choice.

 

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