Time-series-forecasting-ARIMA-RNN

Time-series-forecasting-ARIMA-RNN Our paper Time Series Forecasting Table of Contents A Django React application that forecast time series data using ARIMA and RNN models. Description Technologies How To Use Demo License Author Info Description ARIMA (Autoregressive Integrated Moving Average) Source code RNN (Recurrent neural network) Source code A Seasonal Time Series Data CSV file User Sign up, Sign in Import Time series data (CSV) Apply ARIMA, RNN Forecast Back To The Top Technologies Django-rest framework React framework PostgreSQL (Optional) Features used TensorFlow Pandas Keras NumPy Joblib Knox Material UI Plotly js Back To The Top How To Use Back-end Installation Package model changes Execute the changes into the database Run the server Front-end Installation Run the server Demo Time series 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