This repository contains the code for the Tourism Revenue Prediction App, a machine learning-based web application built using Streamlit. The app predicts tourism revenue based on GDP per capita or other input features and displays visualizations of the results.
- Revenue Prediction: Input GDP per capital to get a predicted tourism revenue.
- Yearly Visualization: View a graphical representation of the revenue prediction for specific years.
- Interactive UI: Simple and user-friendly interface powered by Streamlit.
- Dynamic Graphs: Visualize predicted data using line graphs.
To run this app locally, follow these steps:
- Clone this repository:
git clone https://github.com/aspee12/machine-learning.git cd your-repo-name - Create and activate a virtual environment:
python3 -m venv .venv source .venv/bin/activate # On macOS/Linux .venv\Scripts\activate # On Windows
- Install the required dependencies:
pip install -r requirements.txt
- Run the app:
streamlit run app.py