Recognising Handwritten digits using neural networks and logistic regression

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

Tarun Saurabh 203050009 Ayush Gupta 203050034 Abhijeet Pratap Singh 203059001 Ankit gaur 203050081

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