Blind 75 #5 | Maximum Product Subarray | LeetCode 152 | Kadane’s Algorithm in Java 🚀

🚀 Blind 75 #5 | Maximum Product Subarray | LeetCode 152 Welcome to **Blind 75**, a popular DSA problem list for coding interview preparation. In this video, we solve **LeetCode 152 – Maximum Product Subarray**, the **5th problem in the Blind 75 series**. This problem is a great example of how the *maximum and minimum values at every position* can both be important when dealing with negative numbers. 📌 Topics Covered: ✅ Problem Explanation ✅ Brute Force Approach ✅ Optimal Approach ✅ Maximum & Minimum Product Tracking ✅ Handling Negative Numbers ✅ Step-by-Step Dry Run ✅ Java Implementation ✅ Time & Space Complexity ✅ Interview Tips 🎯 Perfect for: • Coding Interview Preparation • SDE / Software Engineer Roles • Placement Preparation • LeetCode Practice • DSA Preparation 💻 Language: Java 📚 *Blind 75 Series:* This is **Problem #5 of 75**. Follow the complete series to master important DSA patterns and prepare effectively for coding interviews. If you found the video helpful, *Like 👍 Share 🔄 and Subscribe 🔔* for the complete Blind 75 series and more DSA, OS, DBMS and Java content. #Blind75 #Blind75Series #LeetCode152 #MaximumProductSubarray #LeetCode #DSA #Java #Arrays #KadaneAlgorithm #DynamicProgramming #CodingInterview #InterviewPreparation #SDE #SoftwareEngineer #PlacementPreparation #LeetCodeSolutions #DataStructures #Algorithms #ProblemSolving #JavaProgramming #Coding