Mastering Python packages for enhanced active ML

This section offers a comprehensive overview of two popular Python packages known for their capabilities in facilitating active ML: scikit-learn and modAL. scikit-learn, a versatile and user-friendly library, is foundational in the ML community for its extensive array of traditional ML tools. On the other hand, modAL, specifically designed for active ML, builds upon scikit-learn’s robust framework to introduce more dynamic, data-efficient learning techniques. Together, these packages represent a powerful toolkit for anyone looking to leverage the strengths of active ML methodologies.

scikit-learn

While not exclusively for active ML, scikit-learn (https://scikit-learn.org/stable/index.html) is a foundational package in Python’s machine learning ecosystem. It offers a broad range of algorithms and tools that are often used in conjunction with active ML packages – a vast collection of algorithms for classification...