Predicting Rent

Skills Demonstrated
  • Data Transformation
  • Machine Learning
  • API Creation
  • API Calls
  • Web Design
  • Javascript
COMING SOON...

Project Synopsis

This application uses machine learning to predict the rent cost of a New York City appartment, based on the parameters the user's inputs.

Data Source

StreetEasy Dataset on Kaggle.com - This is a dataset of 5000 appartment listings in New York City. These listings include rent cost, as well as over 15 appartment attributes (location, number of bedrooms/bathroom, etc.).

Methodology

MORE DETAILS COMING SOON.