Build, tune and evaluate supervised and unsupervised models with scikit-learn.
3 modules · 6 lessons · about 4 hours of guided content
A rigorous, practical machine learning course: tree-based models, regularisation, cross-validation, pipelines and clustering, with attention to fairness and deployment realities.
Module 1
Supervised learningCore algorithms. · 3 lessonsModule 2
Doing it properlyValidation and pipelines. · 2 lessons · quizModule 3
Unsupervised learningFinding structure. · 1 lessons · assignmentCertificates confirm completion of BDIM training. They are not an academic qualification or professional accreditation.
Tell us whether you are an individual learner, a group or an organization, and your preferred format. Pricing is negotiable.
