Top K Frequent Elements | Leetcode #347 | Heap | Hashmap

This video explains a very important programming interview problem which is to find the top k frequent elements in a given array.This problem is based on heap and hashmap.I have shown all the required concepts by showing the intuition using examples.I have first explained the simple solution and then optimized to give a better solution.I have explained the problem in two different ways using heap and hash and i have also compared the efficiency with each other and showed which is better and why.

CODE LINK is present below as usual. If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful...CYA :)

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RELATED LINKS:
Power of Heap: https://youtu.be/RU08pp_VPSs
Concepts of Heap: https://youtu.be/N0Frqx9UlrI
Representation of Heap: https://youtu.be/qQkfUKer3LU
Heapify Algorithm: https://youtu.be/cuL8gXCSA58
Build heap algorithm: https://youtu.be/VkKmmwzfIG4
Heap Algorithm: https://youtu.be/KkeIB6soiVI
Heapsort Algorithm: https://youtu.be/kU4KBD4NFtw
Heap Implementation: https://youtu.be/TdMAsIIM_n8
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Видео Top K Frequent Elements | Leetcode #347 | Heap | Hashmap канала Techdose