Text mining by using tools from natural language processing in R programming language

Pyspark functions on tabular datasets (RDD and Matrix operations)

Data analysis on graph dataset built from twitter user data

Multi Arm Bandit problem using Epsilon Greedy, UCB and Thomson sampling methods

Text Formatting project using various algorithms like Dynamic Programming, Greedy method etc

Reinforcement Learning with policy and value iteration algorithms and also deep Q learning

Code for some of the algorithms used in Optimal Transport like subspace alignment and sinkhorn algorithms

Kernel Versions of various machine learning algorithms

GANs to generate new images for MNIST and CIFAR10 datasets

Image denoising and encoding of images using deep autoencoders

Sentiment analysis on WHOs tweets using textblob python library

Movie review analysis using NLTK library

Hidden markov models to calculate the probability of future observations