timeseries-lstm-keras：基于Jason Brownlee教程，在Keras中使用LSTM递归神经网络在Pyt...

# 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](https://www.python.org/) - The programming language used * [Pandas](https://pandas.pydata.org/) - Library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming * [NumPy](http://www.numpy.org/) - Scientific computing with Python * [Keras](https://keras.io/) - 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](LICENSE.md) file for details