Database Link=https://www.kaggle.com/datasets/luisandresgarcia/stock-market-prediction
Welcome to the Stock Prediction Flask Website repository! This project is a web application that uses machine learning to predict stock prices. It is built with Flask and provides an interactive platform for users to explore stock trends and predictions.
- Developed a predictive model trained on historical stock market data.
- Incorporated advanced algorithms to forecast stock prices with accuracy.
- Optimized the model through feature selection and hyperparameter tuning.
- Built using Flask, a lightweight and efficient web framework.
- Enabled seamless integration of the predictive model with the web interface.
- Designed a clean and intuitive interface for users to input stock details and view predictions.
- Visualized stock trends using charts and graphs for better data interpretation.
- Provides real-time stock predictions based on the latest data.
- Offers insights to assist in making informed financial decisions.
- Practical Application: Demonstrates the use of machine learning in the financial domain.
- Educational Resource: Serves as a learning tool for students and enthusiasts in data science and finance.
- User Experience Focus: Combines predictive analytics with an easy-to-use web interface.
The Stock Prediction Flask Website is ideal for:
- Investors and Traders: To analyze stock trends and gain predictive insights.
- Data Science Enthusiasts: To explore real-world applications of machine learning.
- Educators and Students: As a project for understanding Flask and stock market predictions.
- Programming Language: Python
- Libraries and Frameworks: Flask, Pandas, NumPy, Scikit-learn, Matplotlib, Plotly
- Dataset: Historical stock market data from reliable financial sources
For any inquiries, feedback, or collaboration, feel free to reach out at Sim14code.
We hope this project inspires you to explore the potential of machine learning in finance!