Timeseries prediction using keras NN
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Prerequisites
What things you need to install the software and how to install them The requisites is defined in requirements.txt file
pip install -r requirements
Running example
A step by step series of examples that tell you how to get a development env running
Say what the step will be
Open jupyter notebook and run the example
Built With
- Python - The programming language used
- Pandas - Library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming
- NumPy - Scientific computing with Python
- Keras - The Python Deep Learning library
Authors
- Iván Cáceres based on Jason Brownlee Tutorial
License
This project is licensed under the MIT License - see the LICENSE.md file for details