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ML interview mastery
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Built in public on GitHub
Every lesson builds on the last. No rush, no assumptions.
Master the essential data structures that appear in 90% of coding interviews — arrays, trees, graphs, hash maps, and when to use each.
Learn the 10 algorithm patterns that solve 80% of coding interview problems — from sliding window to dynamic programming.
Master the system design interview — from requirement gathering to architecture decisions — with frameworks that work at any scale.
Design clean, intuitive APIs under interview pressure — REST, GraphQL, and the principles that make APIs great.
Excel at code review interview rounds — identify bugs, suggest improvements, and demonstrate your engineering judgement.
Develop a systematic debugging approach that works even when the clock is ticking and the interviewer is watching.
Confidently analyse time and space complexity — the skill that separates good solutions from optimal ones in coding interviews.
Master the art of coding in front of an interviewer — from environment setup to communication strategies that showcase your thinking.