Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)

A comprehensive guide to building a machine learning model for detecting radioactive isotopes using gamma spectroscopy data. The tutorial covers data collection from scintillation detectors, preprocessing techniques including normalization and noise augmentation, feature extraction from gamma spectra, and training an XGBoost classifier. The author demonstrates real-time isotope detection using a Radiacode device and provides practical code examples for spectrum analysis, data transformation, and model deployment.