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TensorPrep

Coding Practice for AI/ML Interviews. Practice, submit, and get the feedback an interview would give you.

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756 interview-style problems across 6 tracks, graded the way an interview would. Create an account to keep your progress.

Tracks

NumPyArray creation, broadcasting, and vectorized numerical computing.
0 / 17059 easy · 63 medium · 48 hard
Start 134
PandasCleaning, reshaping, and analyzing tabular data at scale.
0 / 16055 easy · 85 medium · 20 hard
Start 134
PyTorchTensors, autograd, and the building blocks of neural networks.
0 / 11141 easy · 55 medium · 15 hard
Start 92
MatplotlibFigures, axes, and communicating results visually.
0 / 8318 easy · 53 medium · 12 hard
Start 79
ProbabilitySample spaces, counting, conditioning, and independence.
0 / 13248 easy · 74 medium · 10 hard
Start 112
MySQLJoins, aggregation, window functions, and the queries interviews ask for.
0 / 10027 easy · 45 medium · 28 hard
Start 75
TensorFlowsoonTensors, Keras layers, and graph operations.

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October 2026

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Monthly Leaderboard

October 2026

panditvarsha57236
2502281730
justinliu13.1522
4mathomatix19
5shwetanksingh45616
6shunawang1612
7petermoawad997
8bapnakhushal684
9levandung81020073
10divyanshuboltuzamaki231

11 people solving this month · sign in to see your rank

All-Time Leaderboard

Every problem solved since launch

135
people solving: 2,910
problems solved

can143725210
ryhor.abramovich177
krakenha141
425022817106
5chandonrhamel103
6niollezhao97
7ymchen30380
8johnkho8076
9ted.lupin9065
10victor.soto.mrtez63

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