Named Entity Recognition in Healthcare data to identify possible diseases and their suggested treatments from a corpus of medical text containing both disease and treatment.

Build a Generative adversarial model (modified U-Net) which can generate artificial MRI images of different contrast levels from existing MRI scans.

Creation of artificial MNIST digits after learning the style of real MNIST data using a DCGAN

Gesture recognition to control the television without using a remote.

A project to optimize the assignment of cab drivers for a taxi hailing app using Reinforcement Learning.

Reinforcement Learning Agent that learns how to play numerical Tic-Tac-Toe using Q-Learning.

Automatic classification of tickets / complaints in the financial / banking sector.

Config files for my GitHub profile.

An attempt to detect skin cancer using Convolutional Neural Networks.

A case study to identify the major factors which indicate that a customer is about to leave a mobile network. Subsequently, a model is built to predict churn customers in the future.

An attempt at identifying the features which most affect house prices and create a model which can predict house prices.

Project to learn linear regression using python, statsmodels and scikit-learn