ML
ML Interview Roadmap
← Study plan·Behavioral

Day 131 of 133

Mock interview: ML breadth + ML coding round

6 ML concept questions in 45 min + implement k-means or logreg in 30 min.

DSA · NeetCode Heap / Priority Queue

  • K Closest Points TO OriginDSA · Heap / Priority Queue

    Interview questions to prep

    1. Why is a heap the right structure? Could a balanced BST or sorted list work — why is heap better?
    2. Explain the heap-of-k pattern: keep size k, push new, pop if over k. What's the resulting complexity?
    3. What does the comparator look like, and how would you tweak it to flip min/max behaviour?

Mock · ML breadth + ML coding round

  • Breadth round: 6 ML concepts in 45 minBehavioralalirezadir

    Interview questions to prep

    1. Pick 6 ML concept questions and time yourself for 7 min each.
    2. Which concept did you fumble — and what's the cleaner 90-second answer you'd give next time?
  • ML coding: implement k-means or logistic regression in 30 minBehavioralalirezadir

    Interview questions to prep

    1. Implement k-means with k-means++ in 30 minutes — and discuss complexity.
    2. What edge cases (empty cluster, all points identical) did you handle, and how?

References & further reading