A simple example using a Naive Bayes learner and predictor to classify some shuttle data. For more background information see" http://archive.ics.uci.edu/ml/datasets/Statlog+(Shuttle)

This workflows shows how to train a model for named-entity recognition. The model can be created with the StanfordNLP NE Learner node which creates a conditional random field (CRF) model. To create t…

This workflows shows how to train a model for named-entity recognition. The workflow starts with reading the file. In this case each row represents a chapter in Julius Caesars 'De Bello Gallico'. The…

The goal of the text processing part of the workflow is to identify the general mood of a user e.g. positive, negative or neutral based on the sentiment of its posts and comments. The goal of the net…

This workflow demonstrates the usage of the parameter optimization loop nodes. Two optimization strategies can be specified, exhaustive search or hillclimbing.

Introduction to Machine Learning Algorithms course - Session 4 Exercise 2 Detect and remove outliers in the data using the following techniques: - Numeric outliers outside the upper/lower whiskers of…

Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 2 Detect and remove outliers in the data using the following techniques: - Numeric outliers outside the upper/lower…

Accounting Sheets for a Restaurant Business. In 2016 an Excel File was used. In 2017 a Google Sheet was used. Now we want to compare the monthly and YTD revenues for both years. Will Excel Sheets and…

Prerequisites to run the workflow with other data than in the example: 1. Generate a suitable query on PubMed webpage (http://www.ncbi.nlm.nih.gov/pubmed) , e.g. (("nonalcoholic"[all fields] OR "non-…

Introduction to Machine Learning Algorithms course - Session 2 Exercise 3 - Train a Random Forest model - Apply the model to the test set - Evaluate the model performance with the Scorer node - Perfo…

This is an example workflow to run with knimepy Python package. A Container Output (Table) at the end of the workflow provides the generated KNIME table as output to the script. You can find the exam…

Demonstrates standard reaction-based library enumeration. The dataset used in this example workflow was taken from ZINC (http://zinc.docking.org/). Requirements: - RDKit Community Nodes

This workflow demonstrates how to read all sheets from an XML file using the XML Reader node together with the Read XLS Sheet Names node in a loop. To read all sheets from an .xls file in a loop firs…

This workflow demonstrates how to write triples to files either directly from the Endpoint or from Table. Files can be written either directly from a graph residing in an endpoint or from a table con…