Feature selection for demand forecasting incorporating external covariates
Feature selection is used to select a subset of features from a dataset, when developing a predictive model, and use only these selected features for prediction. This helps in not only reducing the computational cost but also in improving the forecasting performance of a machine learning model. Popu...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/153745 |