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Introduction to Hydrology → Applied ML Projects in Hydrology
This path guides graduate data science students through the essential machine learning techniques and their applications in hydrology. It covers prerequisites in hydrology and data science, key ML methods for prediction and classification, and culminates in practical projects that integrate these skills for real-world hydrological problems.
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18 steps · 4 stages. Click any step to inspect it and see it on the Path Map.
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