Round Structure

In this section, we dive into what makes the ML algorithm coding interview distinct from traditional coding rounds. It’s a focused, high-pressure test of both our theoretical depth and practical coding ability.

• We’ll be asked to implement ML algorithms from scratch—no scikit-learn, no TensorFlow—just raw code.
• This round tests both our understanding of the algorithm’s inner workings and our ability to code it cleanly and efficiently.
• With only 45–60 minutes, we’re expected to focus on core logic and code structure, not perfection or full library-level implementations.
• The scope is typically limited to common algorithms like linear regression, logistic regression, or k-means—so it's highly trainable.
• With preparation, we can excel by knowing the key steps, math, and edge cases behind each algorithm and practicing how to express them in code.

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