Data Preparation for Regression task <model/data_prep_rgr.ipynb> Data splitting <model/data_splitting.ipynb> Building Machine Learning model for regression <model/ml_rgr.ipynb> Data preparation for classification task <model/data_prep_cls.ipynb> Building Machine Learning model for classification <model/ml_rgr.ipynb> Cross Validation <model/cross_val_rf.ipynb> Building Neural Network for regression <model/dl_rgr.ipynb> Building Neural Network for classification <model/dl_rgr.ipynb> Data preparation for time-series prediction <model/data_prep_ts.ipynb> LSTM for time series prediction <model/lstm_rgr.ipynb> Tab Transformer <model/tab_transformer.ipynb> FT Transformer <model/ft_transformer.ipynb> Input Attention LSTM model <model/interpretability_ia.ipynb> Temporal Fusion Transformer Model <model/tft.ipynb> Loading an existing model from config <model/from_config.ipynb>
Feature engineering through transformations <preprocessing/transformations.ipynb> Missing data imputation <preprocessing/imputation.ipynb> HRU discretization <preprocessing/hru_discretization.ipynb> HRU discretization for Laos <preprocessing/hru_discretization_laos.ipynb>
Hpo for machine learning models (long) <hpo/hpo_ml_long.ipynb> Hpo for deep learning models (long) <hpo/hpo_nn_long.ipynb> Hpo for machine learning models (short) <hpo/hpo_ml_short.ipynb> Hpo for deep learning models (short) <hpo/hpo_nn_short.ipynb> Laoding results of hyperparameter optimization <hpo/load_hpo.ipynb>
Comparing machine learning algorithms for regression <experiments/ml_rgr_exp.ipynb> Comparing machine learning algorithms for classification <experiments/ml_cls_exp.ipynb> Comparing neural network architectures for regression <experiments/dl_rgr_exp.ipynb> Comparing neural network architectures for classification <experiments/dl_cls_exp.ipynb> Comparing performance of RF with data transformations <experiments/ml_transformation.ipynb> Effect of transformation on LSTM performance <experiments/dl_transformation.ipynb>
Analysis of prediction results <postprocessing/pred_analysis_rgr.ipynb> Partial dependence plot for regression task <postprocessing/pdp_rgr.ipynb> Partial dependence plot for regression task with categorical features <postprocessing/pdp_cat_rgr.ipynb> permutation importance for regression task <postprocessing/pimp_rgr.ipynb> permutation importance with categorical features <postprocessing/pimp_rgr_cat.ipynb> visualizing layers of neural networks <postprocessing/vis_nn_lyrs.ipynb> peeking inside LSTM <postprocessing/vis_lstm.ipynb>
Beach Water Quality of Busan <datasets/busan_beach.ipynb> Mtropics dataset from Laos <datasets/mtropics_laos.ipynb> Global River Water Quality data <datasets/grqa.ipynb> Quadica <datasets/quadica.ipynb>