ibaloyan / NJ-RE-Trends Public

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Use Machine Learning to research New Jersey Real Estate Trends. This app helps those who want to live in NJ to find the right town, depending on their priorities. User weighs desired factors, gets the best place to live by zip code. Technologies => Python: Pandas, Sklearn, K-means Clustering, Pickle, Flask, Pymongo, Json, HTML/CSS/JavaScript, Mo…

nj-re-trends-ib.herokuapp.com/

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Name		Name	Last commit message	Last commit date
Latest commit History 69 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
cluster		cluster
data		data
image		image
static		static
templates		templates
.gitignore		.gitignore
DATTA_API_prop_school.py		DATTA_API_prop_school.py
DATTA_API_pull.py		DATTA_API_pull.py
NJ-RE-Trends.pptx		NJ-RE-Trends.pptx
POI_API_reader_writer.py		POI_API_reader_writer.py
Procfile		Procfile
README.md		README.md
School_Pull.py		School_Pull.py
app.py		app.py
clustering_design.ipynb		clustering_design.ipynb
elbow.png		elbow.png
get_all_zips_comdata_new.ipynb		get_all_zips_comdata_new.ipynb
ib_all_zips_community.ipynb		ib_all_zips_community.ipynb
ib_proj3_config_2.py		ib_proj3_config_2.py
ins.p		ins.p
jons_config.py		jons_config.py
load_zip_geocodes.ipynb		load_zip_geocodes.ipynb
max_vals.p		max_vals.p
model.p		model.p
mongopull.py		mongopull.py
mongopull_full.py		mongopull_full.py
requirements.txt		requirements.txt
run.sh		run.sh
runtime.txt		runtime.txt
zip_data.csv		zip_data.csv