Week 17

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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