GitHub repository: AtawimaS/Comparison-ARIMA-SVR-and-LSTM-algorithm-for-predict-LQ45-Indonesian-Stock-Market-
Created: 2024-05-29T00:07:48Z
Description: conducted a comparison of 3 algorithms, namely AutoRegressive Integrated Moving Average (ARIMA), Support Vector Regression (SVR), and Long Short Term Memory (LSTM). This aims to find out which algorithm is better than the third algorithm. it also compares between traditional statistical models (ARIMA), Machine Learning (SVR), Deep Learning (LSTM).