CS725 Autumn 2020 Project. Dance Form Recognition Team: Bhaveshkumar Yadav, Aarushi Aiyyar, Raj Gite, Yavnika Bhagat, Khyati Oswal, Smit Gangurde

codes for cs699

Implemented One-vs-All Logisitic regression for recognizing hand-written digits in the MNIST dataset Trained the neural networks using backpropagation algorithm for the task of hand-written digit recognition and achieved an accuracy of 95.3%

Implemented the anomaly detection technique to detect failing servers on a network and used collaborative filtering technique to develop a movie recommendation system

Implemented K-means clustering algorithm to compress an image by nearly a factor of 6 Used principal component analysis to find a low-dimensional representation of facial images

Implemented the anomaly detection technique to detect failing servers on a network and used collaborative filtering technique to develop a movie recommendation system

Implemented K-means clustering algorithm to compress an image by around a factor of 6 and used principal component analysis to find a low-dimensional representation of facial images.

A parking management app