LeetCode 347 | Top K Frequent Elements | Brute Force to Optimal | C++ | NeetCode 150 - Problem 4 скачать в хорошем качестве

LeetCode 347 | Top K Frequent Elements | Brute Force to Optimal | C++ | NeetCode 150 - Problem 4

Hey everyone, I’m a final-year IT undergraduate from VJTI Mumbai, and this video marks the beginning of my NeetCode 150 problem-solving journey. In this video, I solve LeetCode 347 – Top K Frequent Elements using C++. I start with a straightforward brute force approach and then transition to the optimal solution. The focus is not just on writing code, but on understanding why each approach works, making it beginner-friendly for anyone learning DSA. This playlist is my way of staying consistent with problem-solving, revising core data structures and algorithms for interviews, and helping others who are preparing alongside me. What I cover in this video: Clear explanation of the problem Brute force approach with detailed thought process Why the brute force solution is inefficient Optimized solution using a hash set Time and space complexity analysis Clean and readable C++ implementation Programming Language Used: C++ Feel free to connect, share feedback, or discuss DSA and interview preparation. LinkedIn:   / sachin-khandekar-b094851b0   LeetCode Problem: LeetCode 347 - Top K Frequent Elements If you find this video helpful, consider liking and subscribing. I’ll be uploading solutions to all 150 NeetCode problems with clear explanations. Thanks for watching, and let’s keep improving together. . . . . . . . . . . . . . . . . . . . . . . . . . . . . #Coding #DSA #CP #Leetcode #Placement #Programming #CPP #C++ #NeetCode150 #LeetCode217 #DataStructuresAndAlgorithms #CPlusPlus #LeetCode #CodingInterview #InterviewPreparation #ProblemSolving #HashSet #Arrays #CompetitiveProgramming #SoftwareEngineering #IT #VJTI