This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techn…
exploratory-data-analysis
regression
internet-of-things
ice
lime
random-forest-regression
xgboost-regression
shap
partial-dependence-plots
lightgbm-regressor
surrogate-trees
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Updated
Mar 30, 2021 - Jupyter Notebook