This Streamlit app uses a Random Forest model to predict stock prices based on historical data.
- Fetch and display historical stock data
- Train a Random Forest model for price prediction
- Visualize stock price trends and model performance
- Make predictions based on user input
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Clone this repository:
git clone https://github.com/agusrajuthaliyan/Stock-Price-Prediction-App.git cd stock-market-prediction -
Install the required packages:
pip install -r requirements.txt
Run the Streamlit app:
streamlit run app/main.py
Navigate to the provided local URL in your web browser to use the app.