Top K Frequent Elements | LeetCode 347 | HashMap + Bucket Sort

In this video, we solve Top K Frequent Elements step by step, starting with the simple approach and moving toward the optimal O(N) Bucket Sort solution. We cover: How to count frequencies using a HashMap HashMap + Sorting approach Why sorting costs O(N log N) How Bucket Sort eliminates the need for sorting Why we create N + 1 buckets How to traverse frequencies from highest to lowest Complete Python implementation Time & space complexity Interview-friendly explanation