Note
This project was completed for STEM Foundation of AI at RMIT University.
Warning
This repository has already been archived and is intended solely for academic purposes. We accept no responsibility for any issues that may arise from using our project and do not condone any behavior that violates academic integrity.
This repository focuses on statistical modeling for predicting diamond prices. We start with a summary of Phase 1, which involved data cleaning, preprocessing, and visualization. We then proceed with model fitting using multiple linear regression, including one-hot encoding for categorical features and exploring interactions and higher order terms. Eventually, we use fitted various models and analyzed to understand the influence of different features on diamond prices.
This project is licensed under the MIT. This means that you are free to use, modify, and distribute the project under the terms of this license.
- Weixi Guan (Chrisio Gwaan) - @ChrisioGwaan
The intent of this license is to allow for the free use of this project for educational, research, and personal projects. However, please adhere to the following guidelines:
- Academic Integrity: This project should not be used for purposes that violate academic integrity policies of educational institutions.
- Commercial Use: If you intend to use this project for commercial purposes, please check the specific terms of the license or contact the authors.
- Liability: The authors are not responsible for any damages or issues arising from the use of this project.
For more details on the license, please refer to the LICENSE file in this repository.