prathameshmahankal
"Machine learning or deep learning? None, I just keep learning"
University of WashingtonSeattle, WA, USA
Pinned Repositories
Analyzing-Attendance-For-Home-Games-of-FC-Cincinnati
This is a problem I worked on as a part of the hiring process for the F.C. Cincinnati Business Analyst Intern position
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.
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
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
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
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.
Movie-Recommendation-System-Project
In this project, we will use different methods to build different recommendation systems and then compare their performances.
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.
text-mining-ingredients-from-allrecipes
The task was to scrape at least 100 recipes from the web, provide their ingredient lists and clean the ingredient data for the further calculation.
prathameshmahankal's Repositories
prathameshmahankal/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.
prathameshmahankal/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.
prathameshmahankal/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.
prathameshmahankal/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.
prathameshmahankal/Movie-Recommendation-System-Project
In this project, we will use different methods to build different recommendation systems and then compare their performances.
prathameshmahankal/text-mining-ingredients-from-allrecipes
The task was to scrape at least 100 recipes from the web, provide their ingredient lists and clean the ingredient data for the further calculation.
prathameshmahankal/Analyzing-Attendance-For-Home-Games-of-FC-Cincinnati
This is a problem I worked on as a part of the hiring process for the F.C. Cincinnati Business Analyst Intern position
prathameshmahankal/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
prathameshmahankal/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.
prathameshmahankal/Football-Analytics-Transfers
This repository aims at analyzing the transfers taking place in world football
prathameshmahankal/IPL---Expenditure-vs-Performance
This project aims at correlating the performance of the IPL teams with the amounts they've spent in the auctions.
prathameshmahankal/iSchool-Job-Notifier-With-R
The project will inform the subscribers whenever a new iSchool Student Job opens up on the website.
prathameshmahankal/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).
prathameshmahankal/prathameshmahankal.github.io
My Portfolio
prathameshmahankal/Predicting-Rainfall-Using-Machine-Learning
prathameshmahankal/regression-on-an-open-ended-problem
My approach to solving an open ended problem provided to me by the Adobe Data Science team.
prathameshmahankal/tracking-online-disinformation
prathameshmahankal/Using-BI-to-Improve-eCommerce-Business
The goal of this project was to answer some BI questions by providing data-driven insights and thus helping the eCommerce business grow.