Connect with fellow learners in the PlacePrep Discord communityㆍ Join now →

R's PlacePrep

Popular drives

TCSNQT (National Qualifier Test)InfosysIRT (InfyTQ Recruitment Test)AccentureCognitive & Technical Assessment

Also hiring

WiproNLTH (National Level Talent Hunt)CognizantGenC Assessment CapgeminiGame-Based Assessment

Browse all 14 companies TCS NQT 2026

Real placement papers from the drives you are actually sitting for

14 companies · 48 papersStart practising

Select your branch

Computer Science & EngineeringBEU previous year papers and solutions Mechanical EngineeringBEU previous year papers and solutions Electrical & Electronics EngineeringBEU previous year papers and solutions

More branches

Civil EngineeringBEU previous year papers and solutions Aeronautical EngineeringBEU previous year papers and solutions

All branches Computer Science

Previous year questions

University papers, sorted by subject and year with worked solutions

BEU Solved PapersOpen the archive

Core CS

Data Structures & AlgorithmsComplexity analysis up to graphs and DP.Operating SystemsProcesses, scheduling, memory and concurrency.Database Management SystemsRelational modelling, transactions and indexing.Computer NetworksFrom wires and radio waves up to the web.

Learn & scale

AI Inference EngineeringQuantization, batching and KV caching in production.System DesignScalable systems from first principles.Context EngineeringDesigning the context that LLMs actually reason over.Docker & KubernetesContainers and orchestration, explained.

All 15 courses Authors

Structured courses that start at zero and end somewhere useful

15 courses · free foreverBrowse courses

Companies PYQ Learn

Machine Learning

Math Foundations4

Supervised Learning6

Training & Evaluation4

Unsupervised Learning & Ensembles3

Neural Networks4

Tools & Practice6

NumPy and pandas, the two libraries under everything
Visualizing data and models with Matplotlib
scikit-learn, every classical model in a few lines
PyTorch, from your hand-written network to a real framework
An end-to-end project walkthrough
Cheat sheet: NumPy, pandas, Matplotlib, scikit-learn, PyTorch

Lessons

Contribute, invite only

Machine Learning

Math Foundations4

Supervised Learning6

Training & Evaluation4

Unsupervised Learning & Ensembles3

Neural Networks4

Tools & Practice6

NumPy and pandas, the two libraries under everything
Visualizing data and models with Matplotlib
scikit-learn, every classical model in a few lines
PyTorch, from your hand-written network to a real framework
An end-to-end project walkthrough
Cheat sheet: NumPy, pandas, Matplotlib, scikit-learn, PyTorch

Learn Machine Learning Tools & Practice

Contribute, invite only

NumPy and pandas, the two libraries under everything

The real tools used to do vector math and load real datasets, instead of the plain-Python loops used throughout this course.

10 min readUpdated 2026-09-03machine-learningnumpypandastools