This repository contains a Data Analytics project, Stock Market Prediction and Forecasting Using Stacked LSTM.
Stock Market Prediction and Forecasting Using Stacked LSTM
- This project includes a collection of Jupyter Notebooks and Python scripts that demonstrate the implementation of the Stacked LSTM model for accurate and reliable market predictions. With the Stacked LSTM architecture, this project enables users to leverage the power of deep learning to analyze historical market data and generate predictions for future market trends. It covers various aspects of the prediction process, including data preprocessing, model training, evaluation, and visualization of results.