Prediction of stock prices using LSTM
In this project we have a dataset containing stock prices of Google from January-2012 to December-2016. We are required to use these stock prices for training the neural network and predict the stock prices for the month of January-2017. This is a Regression problem.
Model used: Long Short-Term Memory (LSTM).
Tools Used: TensorFlow, Keras, Numpy, Pandas, Matplotlib
Language used: Python
Project: To see the project simply open the Jupyter Notebook, “Stock Price Prediction.ipynb”
BlogPost: Work in Progress
Try it Yourself: You can download and execute the python file after installing all the tools used.