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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.

This repo is open to PRs for refinement and betterment in codes.