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Feel free to prepare for basic machine learning questions. The first few chapters of an introductory book would do, for example, for classical ML you can use ‘Applied predictive modeling’ by Kuhn (ignore code and exercises as they are in R – we teach in python – but the explanations are top notch). If you prefer videos, Andrew Ng’s course is great.