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This lecture introduces a miniproject where students predict rainfall in Pully using machine learning. The project is organized as a competition, focusing on reproducibility, code readability, and report quality. Teams must adhere to strict rules, collaborate effectively, and submit their results on a private git repository. The evaluation criteria include data exploration, linear and non-linear methods, and report quality. The lecture covers the project guidelines, deadlines, and evaluation process.
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