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Shama Barna, PhD's Projects

book_recommendation_engine icon book_recommendation_engine

The primary goal of this project is to develop a collaborative book recommendation model using goodreads dataset that can predic user ratings for different books and suggest readers what books to read next. EDA and interactive visualizations are utilized to understand users reading preferences and factors that lead to a book's or author's success in the market.

capstone2_hybrid_yelp_recommender icon capstone2_hybrid_yelp_recommender

This capstone project is part of the data science career track program at Springboard. EDA and interactive visualizations are performed on Yelp open dataset to understand restaurant, user and review patterns on Yelp platform. A hybrid recommendation engine is further developed. Please see the README below for more information.

example-sql-queries icon example-sql-queries

This repository contain some sample SQL queries I wrote on Leetcode and for miniprojects on Springboard

fastai-v3 icon fastai-v3

Deployment for image classification using fastai

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

kaggle-mini_projects icon kaggle-mini_projects

This repository contains some of the Kaggle projects I completed near the end of grad school to pick up on Data Science

miscellaneous icon miscellaneous

This repository contains notebooks for some of my blogs and other items

nlp-predict-cast-member-of-the-tv-show-friends icon nlp-predict-cast-member-of-the-tv-show-friends

This project demonstrates the use of NLP to be able to identify movie/TV show characters from any line they have said in a show by using the transcripts of the show as a source of the dataset for different ML models. The popular TV show 'Friends' was used as the test case, and dataset for modeling was created by web scraping transcripts for all the 9 seasons available online.

springboard_mini_projects icon springboard_mini_projects

This repository contains all the projects submitted to Springboard as a part of the immersive data science bootcamp. Topics include SQL projects, linear regression, classification,clustering, statistical inference etc.

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