Giter Club home page Giter Club logo

toronto-housing-price-prediction's Issues

Clarification on Prediction

May I ask what kind of "real estate prices" is it predicting? In your Jupiter notebook there is a Final Prediction without any unit or context - what region and what time range for what type of housing is that value for?

I am sure if I carefully read through all your code I will be able to understand, but I just wish to get some easy pointers from you.

Thanks.

Data source

Hi,

You mentioned on your main page that "In order to avoid any confidentiality issues I have decided to recreate the project and use the similar techniques I used there but with the publicly available data. I took advantage of the Canadian government’s enforcement towards real estate companies to disclose their housing sales to the public.".

You also noted a "Handcrafted housing dataset (time horizon - 1 year)". May I ask how you went about creating this dataset? e.g. was it via web scraping, contacting various real estate companies, or otherwise?

Thank you!

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.