GTU · BE Computer · Semester 7
GTU 3170724 Machine Learning (ML) Old Question Papers & Solutions PDF
Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Machine Learning (ML) across 2025 – 2026 examinations.
14 questions GTU asked more than onceAsked in all 3 papers: How to identify correct hyperplane in SVM?See listExam papers
Most repeated questions
14 questions GTU set in two or more of 3 papers, most repeated first. Tap a year to open that paper at the question.
How to identify correct hyperplane in SVM?
Discuss holdout and k-fold cross validation for supervised learning.
Discuss different types of data in machine learning.
Explain Naïve Bayes classifier with a simple example.
Explain decision tree based classifier with a simple example.
Discuss the kNN model in detail.
Compare various clustering algorithms along with their advantages and limitations.
What is feature selection in context of machine learning? Why is it needed? List the different approaches of feature selection? Explain any one with example.
Explain the learning process of an ANN. Explain, with example, the challenge in assigning synaptic weights for the interconnection between neurons? How can this challenge be addressed?
What are Bayesian Belief networks? Where are they used? Can they solve all types of problems?
Show 4 more repeated questionsHide the 4 more
How does reinforcement learning differ from supervised learning, and in what types of applications is reinforcement learning particularly useful?
What is well-posed learning problem?
How to avoid overfitting in decision tree based classifier?
Define Bayes theorem.
Which branches take this subject
GTU's syllabus lists 3170724 for 3 branches. One set of papers serves all of them.
Semester 7, elective: 3 branches
Computer Engineering, Computer Science & Engineering, Information & Communication Technology
Other Semester 7 subjects
Common questions
Are these GTU 3170724 Machine Learning papers valid for both Regular and Remedial exams?
Yes. Gujarat Technological University (GTU) follows the same 70-mark syllabus, exam blueprint, and 23-mark passing cutoff for both Regular and Remedial (ATKT/backlog) examinations. All 3 past exam sessions (2025 – 2026) serve as comprehensive preparation for either attempt.
How can I download GTU 3170724 Machine Learning old question papers PDF?
You can download official GTU 3170724 original question paper PDFs directly from the table above with 1 click and zero deceptive ads or wait timers. Every paper also includes interactive online questions with AI study prompts.
What is the passing mark for GTU Machine Learning (3170724)?
The external theory exam carries 70 marks. The minimum passing cutoff is 23 marks (33%). Exam duration is 2.5 hours.
What is the GTU exam pattern for 3170724?
The examination contains 5 main questions of 14 marks each, totaling 70 marks. Questions 2 through 5 provide internal OR choices, typically split into 3-mark, 4-mark, and 7-mark questions.