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cs-430_algorithms-for-data-science-course-project-

Graph Partitioning Techniques for Large Graphs

es-331_assignment-1

Select any dataset such as iris with more than 100 samples each of them being a real vector. Perform PCA for dimensionality reduction of this dataset. Visualize and analyse the principal components using various tools.

es-331_assignment-2

Design a target detection system for Radar or Sonar in the presence of additive white Gaussian Noise when the signal is a random vector of size N. Evaluate the performance of the system.

es-637_assignment-1

Given a set of images containing registered faces, design a face recognition system using eigenfaces.

es-637_assignment-2

Given two 3D point clouds (RGB-D), design a technique using Iterative Closest Point (ICP) to jointly estimate the point correspondences as well as the global rotation matrix and the translation vector.

es-637_assignment-3

Implement optical flow between a pair of images using Horn-Schunck method and lucas-kanade method.

es-637_assignment-4

Assignment-4: Given an image, write a program for over-segmentation using Normalised Cuts.

es-647_assignment-1

Pattern Recognition and Machine Learning

es-647_assignment-2

Pattern Recognition and Machine Learning

reinforcement_learning_project

Our course project (for ES 647)

test

test repo

testing

checking out git

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