Online Resource
Introduction to Machine Learning In Python
Applied machine learning in Python using health data. Covers data preparation, resampling, model training, and performance evaluation including decision trees, neural networks, and responsible machine learning practices.
Keywords: classification, cross-validation, data summarisation, data visualisation, feature engineering, machine learning, model evaluation, python, regression, scikit-learn, statistics, supervised learning, unsupervised learnin
Target audience: Postgraduate student, Postgraduate researcher, Researcher, Clinician, Industry, Public sector, Research Software Engineer, Bioinformatician, Open Research Specialist
Resource type: Online Resource
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United Kingdom