Week 17
Elements of Machine Learning II: Automated classifier optimisation [avatar user=”malm” size=”small” align=”left” link=”file” /] One of the core features of the Python sklearn machine learning framework is the provision of a standard ‘estimator’ and ‘model’ interfaces for working with classification algorithms or ‘classifiers’ as they are typically termed. Examples of sklearn classifiers include Support Vector … Continue reading Week 17