Applied Machine Learning projects includes: a supervised machine learning model to classify emails from the given dataset as spam and not-spam. 2.

Chat-Who is an Chatbot built using the concepts of NLP and CNN.

An assignment on preprocessing of text including tokenization, stop word removal, noise reduction, and stemming

Udacity Natural Language Processing Nanodegree.

An information retrieval system which consists of various techniques' implementations like indexing, tokenization, stopping, stemming, page ranking, snippet generation and evaluation of results

Design and compare the performances of Information Retrieval Models of TF-IDF, Cosine Similarity, BM25. Implemented query expansion using psuedo relevance feedback to display better results.