Benchmarking Machine Learning Models for Parameter Estimation
- Problem: To identify the most accurate and efficient machine learning and statistical methods for estimating galaxy parameters from complex astronomical data.
- Skills & Tools:
Machine Learning, Statistical Modeling, Python, Interdisciplinary Collaboration. - Process:
- Collaborated within an 8-member international research team to define project goals and methodologies.
- Systematically benchmarked 7 different machine learning and statistical models against a standardized dataset.
- Outcome: The comparative analysis provided critical insights into model performance, establishing data-driven best practices for the international research collaboration.
