SB Hacks II

Installation

Run pip install -r requirements.txt
Use the command python housing_scraper.py in order to obtain the .CSV file of housing data
Next, run python neural_network.py -t <filename> (where <filename> is the name of the .CSV file) in order to obtain the weight vectors and feature vectors from the neural network

Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
SBHacksII		SBHacksII
app		app
build/generated		build/generated
gradle/wrapper		gradle/wrapper
lib		lib
.gitignore		.gitignore
CSVtoHouse.java		CSVtoHouse.java
HouseMatch.iml		HouseMatch.iml
README.md		README.md
User.java		User.java
build.gradle		build.gradle
edited_housing_san_diego.csv		edited_housing_san_diego.csv
gradle.properties		gradle.properties
gradlew		gradlew
gradlew.bat		gradlew.bat
housing.csv		housing.csv
housingTEST.csv		housingTEST.csv
housing_santa_barbara.csv		housing_santa_barbara.csv
housing_scraper.py		housing_scraper.py
neural_network.py		neural_network.py
requirements.txt		requirements.txt
results.txt		results.txt
settings.gradle		settings.gradle