AI-Lab

1. Lab-1
   This lab includes implementation of Breadth First Search (BFS), Depth First Search (DFS), and Depth First Iterative Deepening (DFID).

2. Lab-2
   This lab includes implementation of Block World Problem using Best First Search (BFS) and Hill Climbing Algorithms.

3. Lab-3
   This lab includes implementation of k-SAT Problem using Heuristic Search Algorithms like VND and Tabu Search.

4. Lab-4
   This lab includes implementation of Travelling Salesman Problem (TSP) using any of above mentioned algorithms to get minimum possible costs.

5. Lab-5
   This lab includes implementation of Othello Game using MiniMax and Alpha-Beta Pruning Algorithms.

6. Lab-6
   This lab includes implementation of Spam Email Classification using Support Vector Machines.

7. Lab-7
   This lab includes implementation of Grid World Problem using techniques of Value Iteration and Policy Iteration in Reinforcement Learning to get optimal cost.