kn_automl_h2o_classification_python_vtreat
H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for classification problems (with R vtreat) - a powerful auto-machine-learning […]
kn_example_ml_regression_housing_prices
Score Kaggle House Prices: Advanced Regression Techniques - prepare data with vtreat - use H2O.ai nodes and other models - measure results with […]
kn_deeplearn_100_keras_basic
a simple deep learning network for binary classification using the KNIME Keras integration (with a Python environment propagation) Please note this example […]
kn_example_r_basic_knime_in_out_flow_variable
very basic R nodes in KNIME - knime.in, knime.out and handle Flow Variables The Component will provide you with a curated R version in a conda environment […]
Quimioinformática_Aula_Prática_V3
<p>Workflow para a disciplina de Estatística e Quimiometria do curso de Química do Instituto de Química de São Carlos, 2025.</p>
kn_example_r_iris
Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML
GPT4All - Create your own LLM Chroma Vector Store
URL: 4 levels of LLM customization - KNIME Blog https://www.knime.com/blog/4-levels-llm-customization URL: AI Learnathons - KNIME Forum […]
GPT4All - Ein lokaler LLM Vector Store auf Deutsch
KNIME 5.2 unterstützt nun das Erstellen Ihrer eigenen Wissensdatenbank für LLMs, einen lokalen Vektorspeicher (FAISS), um Ihre eigenen Dokumente zu erkunden […]
GPT4All - Create your own LLM Vector Store
URL: 4 levels of LLM customization - KNIME Blog https://www.knime.com/blog/4-levels-llm-customization URL: AI Learnathons - KNIME Forum […]
Heart Disease - Machine Learning Case - Comparing Algorithms
URL: How to Develop Your First XGBoost Model in Python https://machinelearningmastery.com/develop-first-xgboost-model-python-scikit-learn/ URL: A Beginner’s […]