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Cover of AKTU Machine Learning Techniques (BCS055) Previous Year Question Paper (PYQ) – B.Tech 5th Sem 2025-26
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AKTU Machine Learning Techniques (BCS055) Previous Year Question Paper (PYQ) – B.Tech 5th Sem 2025-26

BCS055

by University Academy

  • English
  • Semester 5
  • 38 downloads
  • 11 views

Machine Learning Techniques (BCS055) Previous Year Question Paper – AKTU B.Tech 5th Semester 2025-26

Download the free Machine Learning Techniques (BCS055) previous year question paper (PYQ) PDF for AKTU (Dr. A.P.J. Abdul Kalam Technical University, Lucknow) B.Tech 5th Semester for the 2025-26 session. Practising genuine exam papers is one of the quickest ways to understand the AKTU paper pattern, the marks distribution and the questions that are asked again and again.

Why Solve This Previous Year Paper?

  • See the exact question format, sections and marking scheme used in the semester examination.
  • Spot frequently repeated topics in Machine Learning Techniques and plan your revision around them.
  • Time yourself while attempting the paper to build exam-day speed and confidence.

Paper Details

  • Subject Name: Machine Learning Techniques
  • Subject Code: BCS055
  • Programme: B.Tech (3rd Year)
  • Semester: 5th Semester
  • Academic Session: 2025-26
  • University: Dr. A.P.J. Abdul Kalam Technical University, Lucknow
  • File Format: PDF
  • Access: Free Download

How to Use This PYQ PDF

First finish the syllabus using your notes, then attempt the paper in a single sitting without looking at the answers. Mark the topics you found difficult and revise them with the related notes and question bank for BCS055 available on this website.

Note: This resource is shared for educational reference. Always cross-check the latest official AKTU syllabus and exam notices.

Ratings & Reviews

4.3
10 reviews
Sourav Das 29 Aug 2026

Helpful, though a couple of topics could be more detailed.

Rahul Verma 21 Aug 2026

Helpful, though a couple of topics could be more detailed.

Rohit Mishra 03 Aug 2026

Perfect for last-minute revision before the exam.

Rahul Verma 31 Jul 2026

Great quality, helped me score well in my semester exam.

Rohit Mishra 20 Jul 2026

Good notes overall, covers most of the syllabus.

Neha Joshi 14 Jul 2026

Great quality, helped me score well in my semester exam.

Vikas Yadav 21 May 2026

Nice notes, helped me understand the tricky topics.

Rohit Mishra 28 Apr 2026

Pretty good, minor formatting issues but content is solid.

Priya Singh 02 Apr 2026

Helpful, though a couple of topics could be more detailed.

Aditya Rao 31 Mar 2026

Good notes overall, covers most of the syllabus.

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