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🎯 Day 5 of My LeetCode Journey | Top K Frequent Elements Problem In this video, I solve LeetCode Problem #347 - Top K Frequent Elements, a medium-level problem that's extremely popular in FAANG interviews! This problem tests your knowledge of hash maps and optimization techniques. 🔗 Problem Link: https://leetcode.com/problems/top-k-f... 📌 PROBLEM DESCRIPTION: Given an integer array nums and an integer k, return the k most frequent elements. You may return the answer in any order. Example 1: Input: nums = [1,1,1,2,2,3], k = 2 Output: [1,2] Explanation: 1 appears 3 times, 2 appears 2 times Example 2: Input: nums = [1], k = 1 Output: [1] Example 3: Input: nums = [1,2,1,2,1,2,3,1,3,2], k = 2 Output: [1,2] 💡 KEY CONCEPTS COVERED: ✅ Hash Maps for Frequency Counting ✅ Min Heap / Priority Queue ✅ Bucket Sort Algorithm ✅ Time Complexity Optimization ✅ Top-K Problems Pattern 📊 COMPLEXITY: • Solution (Sorting): O(n log n) time, O(n) space 🎓 DIFFICULTY: Medium 🏷️ TOPICS: Hash Table, Array, Sorting 🔔 SUBSCRIBE for daily LeetCode solutions and coding challenges! 👍 LIKE if you found this helpful! 💬 COMMENT your approach or questions below! --- 📚 MY LEETCODE JOURNEY PLAYLIST: • Leetcode 🤝 CONNECT WITH ME: • GitHub: https://github.com/ashwinikemshetty • LinkedIn: / ashwinikemshetty --- #LeetCode #CodingInterview #Day5 #TopKFrequentElements #Programming #LeetCode347 #Heap #HashTable #BucketSort #MediumProblem #FAANG #CodingChallenge #TechInterview #SoftwareEngineering #AlgorithmExplained #PriorityQueue #100DaysOfCode