We have prepared a fully executed, well-documented PDF with all the required programs, sample input/output, explanations, and proper formatting — as per IGNOU guidelines.
📘 Assignment Details:
-
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 2025 Session
-
31st October, 2025 – For July 2025 Session
📌 Assignment Structure:
This assignment contains 8 lab questions worth 40 marks in total. Your Lab Record will carry another 40 marks and Viva Voce will carry the remaining 20 marks.
You are required to write and execute each program, include program logic, sample input and output, and necessary documentation. Diagrams and illustrations can be added where applicable.
🧠 List of Questions Included in the PDF Solution:
✅ Q1: Write a Python Program to implement Breadth First Search.
Write a Python Program to implement Breadth First Search algorithm.
💡 Covers graph traversal using queue and visited lists.
✅ Q2: Write a Python Program to implement Min-Max Algorithm.
Write a Python Program to implement Min-Max Algorithm used in game theory.
💡 Includes recursion, tree depth, and optimal game decision.
✅ Q3: Write a Python Program to implement the Backtracking approach to solve N Queen’s problem
Write a Python Program to solve N Queen’s problem using Backtracking.
💡 Elegant recursive approach with board visualization.
✅ Q4: Write a Python Program to implement A* Algorithm.
Write a Python Program to implement the A (A-Star) Pathfinding Algorithm*.
💡 Explains heuristics, priority queues, and shortest path.
✅ Q5: Write a Python Program to implement Naïve Bayes Algorithm for data classification, choose dataset of your own choice.
Implement Naïve Bayes Algorithm for data classification using a dataset of your choice.
💡 Explained with dataset selection, model training, and prediction.
✅ Q6: Write a Python Program to implement Polynomial Regression on a dataset of your own choice.
Write a Python Program to apply Polynomial Regression on any dataset.
💡 Data visualization included using Matplotlib.
✅ Q7: Take a Data set as per your choice, implement and execute on different inputs of K-Means clustering algorithm.
Choose a dataset and apply K-Means Clustering Algorithm with multiple K values.
💡 Demonstrates unsupervised learning with cluster plotting.
✅ Q8: Write a Python Program to implement FP tree growth Algorithm on a dataset of your own choiceWrite a Python Program to implement the FP-Tree Growth Algorithm on a dataset.
💡 Useful for mining frequent itemsets and market basket analysis.
📥 What You Will Get in the PDF:
-
✅ Executed Python Code for all 8 questions
-
✅ Sample Inputs & Outputs
-
✅ Step-by-step Logic Explanation
-
✅ Assumptions (where necessary)
-
✅ Clean Formatting (As per IGNOU Lab Record Standards)
-
✅ Ready to Submit PDF
💾 Download the MCSL-228 Assignment Solution PDF
📣 Need Help with Other Assignments or Projects?
If you’re looking for other IGNOU MCA assignment solutions, project synopsis, or complete project files with guide support — feel free to DM us on Instagram!
📩 Instagram: https://www.instagram.com/erdelhiboy/
💬 Quick responses | Affordable prices | Quality content