Auto feature generation workflow
Auto feature engineering workflow There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for […]
Linear regression with autofeat engineered features-II
Linear Regression on Ocenographic Data with 'autofeat' Engineered Features This workflow demonstrates use of the component autofeat feature generator in […]
workflow_giulio
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workflow_vittorio
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workflow_giulio_1
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kn_example_ml_binary_lightgbm_hyper_parameter_opt
use KNIME / Python and LightGBM to build a model - Hyperparameter tuning with BayesSearchCV and Optuna - also preparing data with vtreat some parameters […]
ISU MS Thesis
<h3><strong>Computation workflow for MS Thesis </strong><br><strong>"USAGE OF MARKETING AND SALES DATA FOR EDUCATION OUTCOME […]
Fully_Automated
This application takes a tabular input data and creates a classification model by automating feature selection, outlier detection, missing value handling, […]
Fully_Automated_Machine_Learning_Example
This application takes a tabular input data and creates a classification model by automating feature selection, outlier detection, missing value handling, […]