Cryptocurrency Market Prediction using Machine Learning

Used Automated Machine Learning libraries, TPOT, AutoSklearn for algorithm and pipeline selection
Used Recurrent Neural Network for forcasting.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
app		app
.gitattributes		.gitattributes
All_Crypto.csv		All_Crypto.csv
All_Crypto2.csv		All_Crypto2.csv
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
bitcoin_price.csv		bitcoin_price.csv
cryp.py		cryp.py
cryp_flask.py		cryp_flask.py
dash_price.csv		dash_price.csv
ethereum_classic_price.csv		ethereum_classic_price.csv
ethereum_price.csv		ethereum_price.csv
int2.csv		int2.csv
litecoin_price.csv		litecoin_price.csv
lstm.py		lstm.py
model.h5		model.h5
model.json		model.json
monero_price.csv		monero_price.csv
nem_price.csv		nem_price.csv
neo_price.csv		neo_price.csv
predict.csv		predict.csv
ripple_price.csv		ripple_price.csv
stratis_price.csv		stratis_price.csv
waves_price.csv		waves_price.csv

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