kn_example_ml_binary_extra_trees
use KNIME / Python and sklearn to build a model with ExtraTreesClassifier - also preparing mixed data with vtreat
kn_example_ml_vtreat_multiclass_data_prep
Prepare data for machine-learning models with "MULTICLASS" Targets using the vtreat package and Python Score UCI Wine Quality Dataset - multiple Targets […]
kn_example_ml_vtreat_regression_data_prep
Prepare data for machine-learning models with "REGRESSION" Targets using the vtreat package and Python House Prices - Advanced Regression […]
kn_example_ml_vtreat_binary_class_data_prep
Prepare data for machine-learning models with "BINARY" (0,1) Targets using the vtreat package and Python Census Income Data Set Predict whether income […]
kn_example_ml_vtreat_binary_class_data_prep_unsupervised
Prepare (unsupervised) data for machine-learning models with "BINARY" (0,1) Targets using the vtreat package and Python Since the data preparation with […]
conda_environment_kaggle_knime4
Python Conda environment propagation - depending on your oprating system Windows or macOS (Apple Silicon) Please read this article for more […]
kn_example_ml_vtreat_regression_data_prep_unsupervised
Prepare data (unsupervised) for machine-learning models with "REGRESSION" Targets using the vtreat package and Python. Since the data preparation with […]
kn_example_ml_vtreat_multiclass_data_prep_unsupervised
Prepare data for machine-learning models with "MULTICLASS" Targets using the vtreat package and Python Score UCI Wine Quality Dataset - multiple Targets […]
conda_environment_kaggle_windows
Propagate a curated Python environment "kaggle" for KNIME with several important packages. Like for example: h2o, arrow, XGBoost # update the base conda […]