One-to-one support for LSE's Machine Learning module, with help understanding the main ideas, keeping up with the work, and preparing confidently for assessments.
Develops core machine-learning methods for high-dimensional and large datasets. Students study regression and classification, regularisation, cross-validation, variable selection, trees, random forests and other modern predictive techniques.
Our tutoring for ST310 is designed to make the module feel more manageable. Sessions can focus on clarifying lecture material, rebuilding foundations, working through coding exercises, modelling tasks, data projects and exam-style questions, and developing a clearer strategy for revision and assessed work. The aim is to help students understand the module deeply enough to apply the material independently, not just memorise model answers.
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Our ST310 tutors include experienced university teachers and subject specialists. If you are not sure who is right for you, tell us what you need help with and we will recommend the best match.
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Tell us what you are finding difficult in Machine Learning and we will match you with a tutor who can help with this module.
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