Posts within category: Student Works

NLP Techniques for Archiving Intimate Partner Violence News Documents
There are many resources for archiving incidents of "gun violence" that the media cites in news reports. However,...
Sephora - Cruelty-Free brands vs None Cruelty-Free brands
Objective We are living in a society where younger generations are more health-conscious than any other previous generations....
Predictive Customer Lifetime Value and Product Recommendation for Retail
Introduction On any given day, countless transactions are being made in the retail space. All the transactions generate...
Scraping GoFundMe
Crowdfunding sites provide a centralized platform for conducting fundraising campaigns. Through these sites, anyone can solicit donations from...
Predicting Iowa Housing Prices
Team Members:  Rajesh Arasada, Yung Cho, Nilesh Patel, Pankaj Sharma, Tim Waterman Problem Definition As a part of...
Visualizing air pollution levels in the USA
Background As a mechanical engineer, I am interested in engineering solutions that promote sustainability and a circular economy. Air pollution...
Analyzing French Baccalaureate Results
I. Context The French Baccalaureate (BAC) is the final exam all French students must pass to graduate from...
Using NLP to Classify Articles about Intimate Partner Violence
Objective For my capstone project, I worked with a group of other students that were sponsored by an...
Inventory Optimization Solutions and Revenue Forecasting for Retail
Part 2. Inventory Optimization Solutions and Revenue Forecasting for Retail 1.Background Second dataset consists of sales and inventory...
Multi-Class Product Classifier
Team: Rajesh Arasada, Kent Burgess, Nilesh Patel Problem Formulation Our capstone project aimed to help a fashion industry...
Predicting house prices in Iowa
Background This project was based on the Ames-Iowa Housing Dataset. The aim of the project was to apply...
Examining trends in the carpooling industry
Background As part of my web-scraping project at the NYC Data Science Academy, I have decided to examine...
Predicting Iowa Housing Prices
Introduction The goal of this project was to utilize supervised machine learning techniques to predict housing prices in...
House price prediction using machine learning
Introduction Background The Ames Housing dataset was compiled by Dean De Cock for use in data science education....

View Posts by Categories


Our Recent Popular Posts


View Posts by Tags