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A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

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Viveckh/LilHomie

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LilHomie - Housing Price Prediction Rapid Prototype

LilHomie is a rapid prototyping project that aims to generate housing appraisals to determine values of properties in the New York Tri-state Area.

This repository contains all the associated work that has been done for the area which includes:

  • Web Crawler to gather housing data
  • Notebooks associated with data engineering, EDA, and ML Modeling
  • Serverless API setup to make predictions off the serialized models
  • Web App

Future Enhancements

  • Adding support to crawl and extract through remaining 3 property page formats in Trulia
  • Spiders in Web Crawler to extract data from Zillow
  • Speeding up the crawler with distributed spiders
  • Feeding the ML model with data of properties across the US and making necessary adjustments based on new results, instead of the tri-states properties it is limited to (but this requires the above three enhancements to be done first)

Questions?

Email the author at [email protected]

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A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

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