About this document

Stock Price Prediction Using ML Techniques by rakibhassan552 is a document available to read on EtoBox.

The document presents various studies on stock price prediction using different machine learning and statistical techniques, including Artificial Neural Networks (ANN), Random Forest, and ARIMA models. It highlights the effectiveness of ANN in providing superior predictions compared to traditional models and discusses the potential of deep learning for future work. Additionally, it emphasizes the importance of evaluating prediction accuracy using metrics like RMSE, MAPE, and MBE.

Author

rakibhassan552

Language

EN