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