Learning Path

Python for Scientific Computing → Capstone Project

This graduate-level learning path equips exoplanet researchers with the machine learning skills needed to tackle key problems in the field, including transit detection, classification, parameter inference, anomaly detection, and generative modeling. Starting with foundational Python and statistics, the path progresses through data preprocessing, classical ML, deep learning, and specialized applications, culminating in a capstone project that integrates these skills.