Classify 6 different human tasks such as sitting, standing etc. based on inputs from sensors.

Suggest similar products to an item by using Recommendation systems

Predict review polarity by performing analysis on Amazon Fine Food Reviews dataset while applying various machine learning algorithms and clustering techniques.

Identify question pairs on Quora which have the same intent

Identify and predict keywords and tags from millions of text data

Predict the effects of genetic variations to enable interpretable Personalized Cancer diagnosis

Implement various CNN architectures on MNIST dataset with variations from different number of convolutional layers, kernel size, Dropouts, Batch normalization

Implement various MLP architectures by varying the number of hidden layers, adding and removing Dropouts and Batch Normalization to observe the model performance

Manually implement Stochastic Gradient Descent and perform Linear Regression on Boston housing data and compare with sklearn's implementation of Linear Regression.