This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict customer churn. […]
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 […]
Document Classification: Model Training and Deployment The goal of this workflow is to do spam classification using YouTube comments as the dataset. The […]
JChallenge 21: Help the Caddie (Part 1) Level: Medium Description: Caddie Tom, who assists one of the most popular golf players, has asked for your […]
Compute Local Model-agnostic Explanations (LIMEs) This is an example for computing explanation using LIME. An XGBoost model was picked, but any model […]
Option A: run all at once, use the filter regex to filter out snapshots and if needed others
Aggregate Google and Excel Sheets for Accounting This workflow blends accounting sheets for a restaurant business from an Excel file and from a Google […]
A credit scoring data app to consume the model predictions.
This workflow trains classification models for the Airlines Delay dataset using H2O AutoML on Spark. The dataset is expected to be stored on S3 in parquet […]
This Component is able to create a Local Interpretable Model-agnostic Explanation (LIME) to explain the predictions of any machine learning model in […]
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.