Stock Price Prediction Web Application
The economy depends heavily on the stock market, and forecasting stock values has long been a difficult and in-demand job. The design and implementation of a stock price prediction web application that forecasts future stock prices using machine learning algorithms and historical data is shown in this project. To help users make well-informed judgments, the application offers an interactive interface where they can enter stock symbols and examine the anticipated trends.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-25
- DOI
- https://doi.org/10.5281/zenodo.15513783
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00