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Top K Frequent Elements - LeetCode 347 | Day 5 of My Coding Journey
🎯 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-frequent-elements/
📌 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:
https://www.youtube.com/playlist?list=PLHQFKUF-DX-80aobGuOHTZP1J1SfA12dS
🤝 CONNECT WITH ME:
• GitHub: https://github.com/ashwinikemshetty
• LinkedIn: https://www.linkedin.com/in/ashwinikemshetty/
---
#LeetCode #CodingInterview #Day5 #TopKFrequentElements #Programming #LeetCode347 #Heap #HashTable #BucketSort #MediumProblem #FAANG #CodingChallenge #TechInterview #SoftwareEngineering #AlgorithmExplained #PriorityQueue #100DaysOfCode
Видео Top K Frequent Elements - LeetCode 347 | Day 5 of My Coding Journey канала Ashwini Kemshetty
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-frequent-elements/
📌 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:
https://www.youtube.com/playlist?list=PLHQFKUF-DX-80aobGuOHTZP1J1SfA12dS
🤝 CONNECT WITH ME:
• GitHub: https://github.com/ashwinikemshetty
• LinkedIn: https://www.linkedin.com/in/ashwinikemshetty/
---
#LeetCode #CodingInterview #Day5 #TopKFrequentElements #Programming #LeetCode347 #Heap #HashTable #BucketSort #MediumProblem #FAANG #CodingChallenge #TechInterview #SoftwareEngineering #AlgorithmExplained #PriorityQueue #100DaysOfCode
Видео Top K Frequent Elements - LeetCode 347 | Day 5 of My Coding Journey канала Ashwini Kemshetty
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11 января 2026 г. 15:41:25
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