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Tourism Revenue Prediction App

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.

๐Ÿ“‹ Features

  • 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.

๐Ÿ› ๏ธ Installation and Setup

To run this app locally, follow these steps:

  1. Clone this repository:
    git clone https://github.com/aspee12/machine-learning.git
    cd your-repo-name
    
  2. Create and activate a virtual environment:
    python3 -m venv .venv
    source .venv/bin/activate  # On macOS/Linux
    .venv\Scripts\activate      # On Windows
    
  3. Install the required dependencies:
    pip install -r requirements.txt
    
  4. Run the app:
    streamlit run app.py

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