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_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
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_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_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_knime4
Python Conda environment propagation - depending on your oprating system Windows or macOS (Apple Silicon) Please read this article for more […]
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 […]
_machine_learning_meta_collection
Machine Learning Meta Collection (with KNIME) This meta collection is about machine learning. It contains links to some examples demonstrating several […]
kn_example_excel_import_meta_workflow
KNIME and Excel — An Overview of What You Can Do https://medium.com/p/c6d400319745 ------------------------------- Import EXCEL - This workflow will act […]