459 results
- Go to itemThis workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…12
- Go to itemThe TeachOpenCADD KNIME (v1.0.5) pipeline consists of eight inter-connected workflows (W1-8) , each containing one topic in compu…9
- Go to itemThis workflow demonstrates model building for a bioactivity data set with several machine learning methods and binary fingerprint…7
- Go to itemDownload the entire workflow group from the Example Server. This Guided Analytics application is made of this main workflow, whic…6
- Go to itemThis workflow shows how to extract topics from text documents using the Topic Extractor node. It reads textual data from a table …5
- Go to itemThis workflow performs clustering of the iris dataset using k-Means. Two workflows: one to build the k-Means prototypes (top) and…5
- Go to itemThe workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…4
- Go to itemThis workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we…3
- Go to itemThis workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…3
- Go to itemThis workflow performs clustering of the iris dataset using DBSCAN. Notice the Numeric Distances node to feed the DBSCAN node wit…2
- Go to itemThis demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model pre…2
- Go to itemThis workflow trains a number of data analytics models and automatically selects the best model to predict departure delays from …2
- Go to itemThis workflow is an example of how to build a basic prediction / classification model using logistic regression.2
- Go to itemThis workflow shows how using a no-code/low-code tool like KNIME Analytics Platform can substitute, expand and improve considerab…2
- Go to itemA simple decision tree with all the possibilities to store the results (as PMML or Ruleset or SQL Code) and evaluation (ROC curve2
- Go to item- Prepare train and test data - Treat missing value - Finding correlation - Train a Linear Regression model - Apply trained regre…2
- Go to itemThis tutorial shows how to train an H2O Model in KNIME. We will train an Isolation Forest Model to detect frauds, i.e. outliers o…2