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Prathamesh Mahankal's Projects

classification-of-dialogues-using-nlp icon classification-of-dialogues-using-nlp

This problem was a part of the assignment for the IMT 575 course at the UW. In this problem, I have performed supervised text classification. The data for the classification task will consist of quotes from candidates vying to be the Democratic presidential nominee for the 2020 US presidential election. All data has been extracted from debates between candidates. The task is to identify who said what for a subset of unlabeled data.

fake-news-detection-using-bert icon fake-news-detection-using-bert

In this project, I am trying to track the spread of disinformation. This repo is for the ML part of the project and where it tries to classify tweets as real or fake depending on the tweet text and also the text present in the article that is tagged in the tweet. This particular implementation uses BERT for classification.

image-retrieval-using-caption-generator icon image-retrieval-using-caption-generator

This project explores the domain of caption generation and applies the concept to build a vector-sequence model that predicts captions for all the images and allows users to retrieve any particular image based on the caption for that image.

inventory-management-retail-project icon inventory-management-retail-project

In this project, I will analyze the problems faced by a departmental store at the University of Washington using Python and applied problem-solving skills to develop business models that resulted in improved profits, better customer service, reduced food wastage, and increased employee satisfaction.

latest-resume icon latest-resume

This repo has my latest resume. This repo not only helps the person who visits my profile and needs to access my resume but also helps me see how much I've grown (thanks to the git log).

named-entity-recognition-using-elmo icon named-entity-recognition-using-elmo

The goal of this project is to extract addresses from the Eviction Notices. This is a Named Entity Recognition problem. To tackle this, I decided to use a popular NER algorithm - ELMo.

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