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Pre-COVID top performers became post-COVID losers. We built ML models that capture this shift by separately modeling each era. Result: 0.071 RMSE 89.6% skill score predicting apartment revenue growth.
Automate sleep stage classification, using multivariate physiological signals​ with ensembled Multivariate Time Series Classification(ResNet) and Time-Series Segmentation(U-net) models
91% accuracy on the test set; Very compact model that can be trained within 10min on CPU
