DCA71M5 INTRODUCTION TO MACHINE LEARNING (ELECTIVE) FEB MARCH 2026

Description

SESSION	FEB-MARCH 2026
PROGRAM	MASTER OF COMPUTER APPLICATIONS (MCA)
SEMESTER	III
COURSE CODE & NAME	DCA71M5 INTRODUCTION TO MACHINE LEARNING (ELECTIVE)

 

 

 

Assignment Set – 1

 

 

Q1. A hospital wants to predict whether a patient will develop diabetes. Identify which type of Machine Learning should be used and justify your answer.

Ans 1.

Identifying the Type of Machine Learning

If a hospital wants to determine whether the patient is likely to develop diabetes or not, Supervised Learning is the best kind of machine learning that they can employ. Particularly, it is an issue of binary classification, which means that the model has to predict either or the patient is likely to develop the disease (positive classification) or the patient will not be diagnosed with the

MUJ

Its Half solved only

Buy Complete assignment from us

Price – 190/  assignment

MUJ Manipal University Complete SolvedAssignments  JAN- FEB  2026

buy cheap assignment help online from us easily

we are here to help you with the best and cheap help

Contact No – 8791514139 (WhatsApp)

OR

Mail us-  [email protected]

Our website – https://muj.assignmentsupport.in/

JAN-FEB 2026

 

Q2. An email system needs to classify emails as spam or not spam. Which supervised learning technique would you use and why?

Ans 2.

Problem Overview

The classification of emails as spam or not is an old binary classification issue in machine learning supervised. Email systems already have an extensive collection of email which were previously classified as spam or not by administrators or users. The fact that these historical emails have been labeled makes the decision to use supervised learning a natural one. It is the

 

 

Q3. In a cancer detection system, explain why Recall is more important than Accuracy. Support your answer with an example.

Ans 3.

Understanding Accuracy and Recall

Accuracy refers to the percentage of predictions total that are accurate. This can be misleading if the distribution of classes is not balanced which is often the case when it comes to cancer detection data in which healthy people outnumber cancer patients.

Recall, sometimes referred to as sensitive or the true positive rate, is the percentage of positive

 

Assignment Set – 2

 

Q4. A company wants to analyze customer reviews from its website. Explain the preprocessing steps required before applying ML.

Ans 4.

Introduction

Reviews of customers are not structured information. Before any machine-learning algorithm is able to analyze sentiment, identify topics, or categorize opinions, the unstructured text has to be cleansed and converted into a structured numeral format. The process of transformation is known

 

 

Q5. Explain how an OTT platform recommends movies to users using collaborative filtering. Compare content-based and hybrid recommendation systems using an example

Ans 5.

Collaborative Filtering on OTT Platforms

A OTT (Over-The-Top) service such as Netflix as well as Amazon Prime uses collaborative filtering to suggest movies to users. Collaboration-based filtering is based on the assumption that those who reached an agreement on preferences or ratings previously are more likely to be able to reach a consensus in the near future. The system does not rely on any details about the films themselves (such such as director, genre or casting) however it relies on patterns in user behavior

 

 

Q6. A company processes millions of transactions daily. Explain why traditional ML techniques may fail and how Big Data tools help.

Ans 6.

An organization that handles thousands of transactions every day generates an enormous, constant flow of information. Although traditional ML techniques are suitable for smaller to medium-sized data sets that can are able to fit into the memory of one machine however, they are severely limited in big datasets. Knowing these limitations and the ways big data-related tools