Unique Paths | Dynamic Programming Approach | LeetCode Problem Solution

In this video, we solve the Unique Paths problem from LeetCode using a dynamic programming approach. This problem is a classic example of grid-based DP and is a great way to understand how dynamic programming can be applied to combinatorial problems. We’ll walk through the problem statement, develop an intuitive DP solution, and then implement the solution step by step.

🔍 Problem Statement:
You are given a grid with m rows and n columns. Starting from the top-left corner, your goal is to reach the bottom-right corner. You can only move either down or right at any point in time. Calculate the number of unique paths you can take to reach your destination.

💡 Topics Covered:

Problem breakdown
Grid-based Dynamic Programming
Analyzing overlapping subproblems
Implementing the solution in code
Time and space complexity analysis

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