Dannjs San-Francisco Live Demo
A Deep Neural Network learns to predict housing prices in San-Francisco
Dataset
The dataset consists of 9 parameters about residential city blocks. Green dots represent low prices, Red dots represent high prices. The moving dots are the models predictions.
Data has been normalized, and formatted into JSON. The original dataset accounts for the entirety of california, it has been scaled down to only San-Francisco.
The original dataset can be found here
Data fed to the neural network:
- longitude
- latitude
- housing_median_age
- total_rooms
- total_bedrooms
- population
- households
- median_income
- ocean_proximity
Data the neural network is tasked to predict:
- median_house_value
Run
Launch canvas.html into any browser, or click here
Tutorial
A tutorial to create this in Node.js is available here.