README.md

Course_Programming_Assignments

This repository contains Programming Assignments :

• Machine Learning

  1. Assignment 1: 
         * Linear Regression
         * Logistic Regression
  2. Assignment 2:
        * SVM trained on features extracted using HOG. 
        * Gaussian Naive Bayes
        * Decision Trees
        * Comparison Plots
  3. Assignment 3:
        * Neural Network from scratch. 
        * SVM trained on feature extracted using Pytorch AlexNet.
  

• Artificial Intelligence

  1. Assignment 1:
         * Uniformed Search Algorithms: DFS, BFS.
         * Heuistic Search Algorithms: A*, IDA*
         * Genetic Algorithms: N-Queens
  2. Assignment 2:
         * Ant Colony for Travelling Salesman Problem
         * Q-Learning applied to Opengym Frozen Lake Environment
         * Tic tac Toe game using Q-learning
  

• Digital Image Processing

  1. Assignment 1:
          * Histogram Equalization
          * Transformation, Inverse Transformation, Interpolation
  2. Assignment 2:
          * Histogram Matching
          * Unsharp Masking using Box Filter
  3. Assignment 3:
          * Convolution via DFT 
          * Unsharp masking via DFT.
  4. Assignment 4:
          * Adaptive Filtering
          * Weiner Filtering, Least Squares Filtering