Prediction of Stock Prices Using Machine Learning

Researchers have been examining various approaches for making accurate stock market price predictions. Effective prediction systems give traders more insights into data, including future trends. Additionally, since the analysis provides future market conditions, investors stand to gain significantly. Forecasting with machine learning algorithms is one such technique. Improving the quality of output from stock market predictions using stock value is the aim of this project. Many researchers have created different strategies to address this issue; conventional methods, for example, employ artificial neural networks to uncover latent patterns and categorize data that is utilized for stock market forecasting. This project suggests an alternative approach to stock market price prediction.