Weather forecasting with AI, Kaggle tips and tricks, dealing with missing data, deep learning with Jesper Dramsch, The Data Scientist Show #040
The Data Scientist Show - Daliana Liu
00:00
Machine Learning for Tropical Cyclones
How do you deal with sparse data and still get a good machine learning model out of it? Yes, my colleagues have done some really good work on it, actually. So besides picking models like acibus whatever, some other a best practices or method you find useful an deal with the sporadic data. Am extribus is just really good. And lest of the sophisticated um imputation methods. But i tried to stay away from interpolation too much, am,. so i just wrote about missing data in my news letter.
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