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🌐 marketing-campaign-predictor


📔 About


Report


💻 Getting Started

⚙️ Initial Setup

🛠️ Setting up your environment (conda or Docker)

Method 1: Running the code via conda environment

Method 2: Running the code via Docker container (Recommended)

🖥️ Viewing the report

🏃 Running the analysis

📝 Note

✅ Testing the code

🔍 Methodology


📈 Results and Discussion


👥 Team Members


🤝 Contributing

Your contributions can help enhance this project further. For contribution guidelines, please refer to CONTRIBUTING.md. We appreciate your interest in improving the predictive capabilities of our model.

©️ License

All reports contained here are licensed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License. See the license file for more information.

If re-using/re-mixing please provide attribution and link to this webpage.

The software code contained within this repository is licensed under the MIT license. See the license file for more information.

The dataset employed in this analysis is distributed under an open-source license.

🙏 Acknowledgments

Special thanks to our course instructors and UBC for providing the resources and support necessary for this project.

✉️ Contact

For queries or collaborations, feel free to contact any of our team members.

You can find our contact details in the Team Members section.

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Machine learning model for marketing campaign prediction

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