IGNOU MCA-NEW MCSL 228 AI and Machine Learning Lab Solved Assignment ENGLISH
Looking for the solved assignment for MCSL 228AI and Machine Learning Lab? Here you can get the complete solved assignment in PDF format for your IGNOU course.
If you are preparing your assignment and need the answers in one place, this solved PDF can help you save time and understand how the questions can be answered. You can read it on your mobile, save it for later, or take a print if required.
MCSL 228: AI and Machine Learning Lab
₹80 ₹30
| Title Name | IGNOU MCA-NEW MCSL 228 AI and Machine Learning Lab Solved Assignment ENGLISH |
|---|---|
| Type | Soft Copy (E-Assignment) .pdf |
| University | IGNOU |
| Degree | MASTER DEGREE PROGRAMMES |
| Course Code | MCA-NEW |
| Course Name | Master of Computer Application |
| Subject Code | MCSL 228 |
| Subject Name | AI and Machine Learning Lab |
| Year | 2026 |
| Session | - |
| Language | ENGLISH |
| Assignment Code | MCSL 228/Assignment-1/2026 |
| Product Description | Assignment of MCA-NEW (Master of Computer Application) 2026. Latest MCSL 228 2026 Solved Assignment Solutions |
| Format | Ready-to-Print PDF (.soft copy) |
Need Help With This Assignment?
Looking for the solved assignment for this subject? You can get the complete solved PDF and use it while preparing your assignment.
📋 Assignment Content Preview
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.
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.
❓ Frequently Asked Questions (FAQs)
A: Immediately after payment, the download link will appear.
Q: Is this hand-written or typed?
A: This is a professional typed computer PDF. You can use it as a reference for your handwritten submission.
➕Other Details
IGNOU MCSL 228 Solved Assignment 2026 – Prepare Smarter, Save Valuable Time
Searching for the 2026 IGNOU MCSL 228 Solved Assignment? Get a ready-to-use reference for MCSL 228 - AI and Machine Learning Lab and make your assignment preparation simpler, faster and more organised. Our carefully prepared MCSL 228 AI and Machine Learning Lab Solved Assignment is designed to help you understand the questions, study the important points and prepare your assignment answers with greater confidence.
Why spend hours searching through different sources when you can have your MCSL 228 solved assignment reference available in one convenient resource? Whether you are studying after work, preparing several IGNOU subjects together or simply want a dependable reference, this material can save you valuable preparation time.
MCSL 228 2026 Solved Assignment – What You Get
- Latest 2026 assignment reference for MCSL 228 AI and Machine Learning Lab
- Question-wise answers arranged for easy study and reference
- Clear and student-friendly presentation for easier understanding
- ENGLISH language version available
- Digital soft copy / PDF for convenient access
- Useful reference material for preparing your own assignment answers
- Helps you identify important points, answer structure and relevant content
Stop Struggling With Every Question. Start Preparing With a Better Reference.
Assignment preparation can become time-consuming when you have multiple subjects, limited study hours and a long list of questions to complete. A good reference can help you move from “What should I write?” to “Now I understand how to prepare this answer.”
The IGNOU MCSL 228 Solved Assignment 2026 gives you a convenient study reference so you can review the questions, understand the expected subject matter and organise your own answers more efficiently.
Study less randomly. Prepare more systematically. Keep the reference with you while working on your assignment and use it whenever you need help understanding a question or arranging the important points.
Get Your MCSL 228 AI and Machine Learning Lab Solved Assignment 2026
Course: Master of Computer Application (MCA-NEW)
Subject: MCSL 228 - AI and Machine Learning Lab
Session: January 2026 - December 2026
Language: ENGLISH
Need the Help Book / Solved Assignment?
Call us: 9199852182 / 9852900088
WhatsApp: 9199852182
Your Time Matters – Make Assignment Preparation Easier
If you are balancing IGNOU studies, work, family responsibilities or other subjects, every hour of study matters. Having a structured reference beside you can make it easier to understand the assignment and focus your time on preparing your own submission.
Instead of repeatedly searching for answers across different websites and sources, keep your MCSL 228 AI and Machine Learning Lab Solved Assignment 2026 ready for reference whenever you study.
A Useful Reference for Your IGNOU Assignment Preparation
Understand the question → Find the relevant points → Study the answer → Prepare your own assignment with confidence.
IGNOU MCA-NEW Assignments 2026
The MCA-NEW (Master of Computer Application) programme includes assignment work as part of the academic requirements applicable to students. Students should always verify the latest assignment questions, instructions and submission requirements from the official IGNOU website.
Our MCSL 228 Solved Assignment is independently prepared reference material intended to assist students with understanding and preparing their answers. It is not an official IGNOU publication.
Why Keep a Solved Assignment Reference?
A useful reference is more than simply a collection of answers. It can help you see how a question can be approached, what important points need attention and how the subject matter can be organised into a clear answer.
- Save preparation time with organised reference material
- Understand difficult questions more easily
- Review important concepts before writing your answers
- Improve answer organisation with a structured reference
- Study conveniently whenever and wherever you need it
Product Information
| Course Name | Master of Computer Application |
| Course Code | MCA-NEW |
| Subject Code | MCSL 228 |
| Subject | AI and Machine Learning Lab |
| Programme | MASTER DEGREE PROGRAMMES Courses |
| Language | ENGLISH |
| Material Type | Solved Assignment – Soft Copy / PDF |
Ready to Make Your MCSL 228 Assignment Preparation Easier?
Get the 2026 MCSL 228 AI and Machine Learning Lab Solved Assignment as a convenient reference for your assignment preparation.
Call: 9199852182 / 9852900088
WhatsApp: 9199852182
IGNOU MCSL 228 2026 Solved Assignment
Get your reference copy and start preparing with confidence.
Important Note for IGNOU Students
Always check the latest assignment questions and submission instructions on the official IGNOU website before preparing and submitting your assignment. Use this solved assignment as a study and reference resource and prepare your own submission according to the applicable IGNOU requirements.
Related Searches
- IGNOU MCSL 228 Solved Assignment 2026
- IGNOU MCSL 228 AI and Machine Learning Lab Solved Assignment
- IGNOU MCA-NEW Master of Computer Application Solved Assignment 2026
- IGNOU 2026 Solved Assignment
- IGNOU MCSL 228 Assignment 2026
- MCSL 228 AI and Machine Learning Lab Assignment 2026
- IGNOU MCSL 228 Assignment Answers 2026
Why Choose IGNOU Academy for Your Assignments?
Getting your assignments right is an important part of your IGNOU academic journey.IGNOU Academy provides carefully prepared reference materials designed to makeassignment preparation simpler, clearer and more convenient for students.
Latest Curriculum: Materials are prepared with the current IGNOU syllabus and assignment requirements in mind.
Proper Assignment Format: Understand the structure, presentation and answer style generally expected in an IGNOU assignment.
Simple Explanations: Difficult topics are explained in clear and easy-to-understand language.
Exam Preparation: Assignment material can also be useful for revising important concepts before the Term-End Examination.
Student-Friendly Language: Clear English/Hindi content helps students understand topics without unnecessary complexity.
Trusted by IGNOU Learners: Students across India use IGNOU Academy as a convenient source of assignment and study-reference material.
These materials are provided as reference study guides. Students should understandthe concepts, follow IGNOU guidelines and prepare their own original assignmentswhere required.
How to Get Your Solved Assignment PDF
Visit IGNOU Academy:Go to www.ignouacademy.com.
Find Your Course:Search for your programme, course code and subject.
Select the Session:Choose the latest available reference material for your academic session.
Complete Your Order:Add the required material to your cart, log in or register, and complete the payment.
Access Your Material:After successful payment, access your purchased study material from your account.
Step-by-Step: Finding IGNOU Assignment Question Papers
Open the Website:Visit www.ignouacademy.com.
Open Assignment Question Papers:Select the relevant IGNOU assignment question paper section.
Filter Your Requirement:Select your course, session and medium such as English or Hindi.
Open the Paper:View or download the required question paper for your preparation.
How to Submit Your IGNOU Assignments
Prepare Neatly:Use the format and submission instructions applicable to your programme and study centre.
Complete the Front Page:Enter your Name, Enrollment Number, Programme/Course Code, Subject and Study Centre details correctly.
Offline Submission:If your study centre requires physical submission, submit the assignment as instructed and retain the acknowledgement.
Online Submission:Where online submission is permitted, follow the instructions issued by your Regional Centre or Study Centre. Keep proof of submission for your records.
Tracking Your Assignment Submission Status
After submitting your assignments, students can check whether their assignmentmarks and submission details have been updated through the applicable official IGNOU system.
Open the Official IGNOU Student Area:Visit the official IGNOU website and access the relevant student services.
Find Assignment Status:Open the assignment-status service applicable to your programme.
Enter Your Details:Provide your Enrollment Number and other requested programme details.
Check the Status:Review the available submission, evaluation and marks information.
A Quick Tip for IGNOU Students
Assignments are an important part of the IGNOU evaluation process. Preparing themcarefully, understanding the questions, following the prescribed format and submittingthem within the applicable deadline can help you stay on track academically.
Smart Study + Proper Preparation + Timely Submission = Better Academic Planning
Need Help? Contact IGNOU Academy WhatsApp: +91 9199852182 | Website: www.ignouacademy.com