04 Components
Exercise for creating a component and using a shared component. Create a component that filters data based on a user selection. Drag and drop a component […]
07 Random Forest - Solution
Solution to an exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, and […]
04 Components
04 Components Exercise for creating a component and using a shared component. Create a component that filters data based on a user selection. Drag […]
02 Flow Variables and Components ADDITIONAL DATA
Task 1: Flow Variables. Redo assignment tasks with new data.
08 Parameter Optimization
08 Parameter Optimization Exercise for building a parameter optimization loop. Optimize the number of trees in a Random Forest model with a […]
Fully_Automated_Machine_Learning_Example
This application takes a tabular input data and creates a classification model by automating feature selection, outlier detection, missing value handling, […]
extra 07 Random Forest
07 Random Forest - Solution Solution to an exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. […]
Interactive Data Cleaning
This KNIME component allows you to apply various data cleaning steps interactively. Default configuration will implement cleaning of missing values and […]
02 Flow Variables and Components - Solution
This workflow shows a solution to a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists - Advanced course
Interactive Data Cleaning
This workflow demonstrates how to use the Interactive Data Cleaning component for data preprocessing