This notebook demonstrates the future price prediction of SBI stock using recurrent neural network (RNN) in tensorflow. It also demonstrates a technique to identify the sudden attacks that occur in the stock prices and mitigate their impact on the stock prediction trends.
Python3 Jupyter-notebook
This book has been developed on windows system with anaconda environment.
Important Repositories/packages
pandas numpy matplotlib sklearn math datetime os tensorflow
In anaconda prompt command pip install 'Package name' would install the required package along with all the dependencies.
Otherwise one can also use conda installation. For more details check out https://docs.conda.io/projects/conda/en/latest/commands/install.html
For linux based systems pip install package commands can be directly run from normal command prompt to download package and its dependencies.
To install tensorflow one can use 'conda install -c conda-forge tensorflow' if the above commands doesn't work
pip install pandas
or
conda install pandas
- [Python3]
- [Anaconda]
- [Juyter-notebook]
- [Tensorflow]
- Imran Quraishi
- Raoul Malm - NY Stock Price Prediction RNN LSTM GRU
- Sudarshan Deshmukh