Time-series-forecasting-ARIMA-RNN
Description
ARIMA (Autoregressive Integrated Moving Average)
RNN (Recurrent neural network)
A Seasonal Time Series Data
User
- Sign up, Sign in
- Import Time series data (CSV)
- Apply ARIMA, RNN
- Forecast
Technologies
- Django-rest framework
- React framework
- PostgreSQL (Optional)
Features used
- TensorFlow
- Pandas
- Keras
- NumPy
- Joblib
- Knox
- Material UI
- Plotly js
How To Use
Back-end
Installation
cd .\server\
pip install -r requirements.txt
Package model changes
python manage.py makemigrations
Execute the changes into the database
python manage.py migrate
Run the server
python manage.py runserver
Front-end
Installation
cd .\Client\
npm install
Run the server
npm start
Demo
License
MIT License
Copyright (c) [2022] [Khiati Walid]
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Author Info
- LinkedIn – @KhiatiWalid
- LinkedIn – @HamrouneYoucef
