Skip to content

Latest commit

 

History

History
9 lines (8 loc) · 303 Bytes

README.md

File metadata and controls

9 lines (8 loc) · 303 Bytes

Stock-Price-Prediction

The project is based on real Google stock price dataset from 2012 to 2017 and by using Deep Learning I made an algorithm that uses both RNN and LSTM to predict the stock price of google for January 2017

i used the following:
Tensorflow
sklearn
numpy
matplotlib
and pandas