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1.Property valuation 2. Paths in a tree 3. Mercury levels -missing values 1. There are very long tests cases so use numpy masks to quickly check for the conditions as required by the question. 2. Simple DP algorithm 3. Use mean of k nearest neighbours to solve all test cases ---- Pattern recognition : look at patterns on the opposite side of the missing tile. Most questions also used clockwise/anticlockwise patters which were cyclical
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Graduate Trader Program

Interviewed at Tibra

3.3★
Apr 14, 2023

1.Property valuation 2. Paths in a tree 3. Mercury levels -missing values 1. There are very long tests cases so use numpy masks to quickly check for the conditions as required by the question. 2. Simple DP algorithm 3. Use mean of k nearest neighbours to solve all test cases ---- Pattern recognition : look at patterns on the opposite side of the missing tile. Most questions also used clockwise/anticlockwise patters which were cyclical

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