GithubHelp home page GithubHelp logo

aliluc / home_price_estimator Goto Github PK

View Code? Open in Web Editor NEW

This project forked from laurenshareshian/home_price_estimator

0.0 0.0 0.0 2.52 MB

Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.

Jupyter Notebook 100.00%

home_price_estimator's Introduction

The get_home_data file scrapes Portland homes sold between 7/16 and 7/17 from the Portland Maps API. It then scrapes Zillow metadata and Redfin images on those houses.

clean_home_data cleans up the scraped data.

analze_data creates a word vectorization of the realtor description and performs NLP sentiment analysis on it. It also uses VGG16 to get features from the home pictures. It combines the Zillow metadata and this other info into a matrix and then uses Gradient Boosting to predict home prices.

predict_home_prices explores some of the predictions in the test set.

home_price_estimator's People

Contributors

laurenshareshian avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.