Predicting Tags on Stack Overflow:

The aim of the project is to predict tags on Stack Overflow using Linear Models. To tackle the problem, multilabel classification approach is followed.

Named Entity Recognition on Twitter Using LSTMs:

In this project, a recurrent neural network, particularly Bi-Directional Long Short-Term Memory Networks (Bi-LSTMs) is built to recognize the named entities ( extracting entities such as organizations, locations etc. from text) from Twitter.

Identifying duplicate Questions on Stack Overflow using Word Embeddings:

In this project, duplicate questions from StackOverflow are identified using the word embedding of the questions (similarities between the questions are calculated).

Sequence to Sequence Model to build a calculator:

A Calculator is built for evaluating the arithmetic expressions using sequence-to-sequence model.