Predicting the Distribution of Taxis in New York City

Project Website

Name		Name	Last commit message	Last commit date
Latest commit History 151 Commits
data		data
figures		figures
images		images
results		results
.gitignore		.gitignore
1. Setup Project.ipynb		1. Setup Project.ipynb
2. DataPrepAWSSpark.ipynb		2. DataPrepAWSSpark.ipynb
3. ConvertRDDtoCSV.ipynb		3. ConvertRDDtoCSV.ipynb
4a. Random Forest (average days).ipynb		4a. Random Forest (average days).ipynb
4b. Random Forest (specific days).ipynb		4b. Random Forest (specific days).ipynb
4c. k-Nearest Neighbors (average days).ipynb		4c. k-Nearest Neighbors (average days).ipynb
5a. Destinations - DataPrepAWSSpark.ipynb		5a. Destinations - DataPrepAWSSpark.ipynb
5b. Destinations - Random Forest.ipynb		5b. Destinations - Random Forest.ipynb
Data Prep - Destinations.ipynb		Data Prep - Destinations.ipynb
DataPrepAWSSpark.ipynb		DataPrepAWSSpark.ipynb
DataPrepLocalTest.ipynb		DataPrepLocalTest.ipynb
GeoSpatial Analysis Sandbox.ipynb		GeoSpatial Analysis Sandbox.ipynb
Homepage.md		Homepage.md
JFK Pickups by Day of the Week and Time.ipynb		JFK Pickups by Day of the Week and Time.ipynb
Preprocess data (locally).ipynb		Preprocess data (locally).ipynb
README.md		README.md
RepartitionRDDs.ipynb		RepartitionRDDs.ipynb
Schema.xlsx		Schema.xlsx
TaxiSparkSchema.py		TaxiSparkSchema.py
Untitled.ipynb		Untitled.ipynb
geohash.py		geohash.py
myConfig.json		myConfig.json
streams_favorites.xml		streams_favorites.xml
tableau-test.html		tableau-test.html