FALA - Forecasting Analysis Using LSTM & ARIMA
A project that uses ARIMA and LSTM models to predict future outcomes based on historical data. The project utilizes ARIMA and LSTM models to accurately predict future temperature values for various fields. The proposed method aims to improve traditional time series forecasting methods by utilizing both models' strengths. The accuracy of the proposed method is compared to traditional models, and results show an improvement in forecasting accuracy.
15 Mar 2023
Keywords
Machine Learning
Predective Analyisis
Data Modelling
Data Analysis
Data Processing
Python
Numpy
Pandas
Matplotlib
LSTM
ARIMA
