JKISeason2-13
Description: You ara a data scientist working for a real estate company, and heard a rumour that the "average number of rooms per dwelling" (RM) may be […]
Transaction_Data_Analysis
Analyzing Transaction Data
AutoML (Regression)
This Component automatically trains supervised machine learning models for regression. The component is able to automate the whole ML cycle by performing […]
2023-12
There has been no description set for this workflow's metadata.
JKISeason2-9
Description: In this challenge, your goal is to see which features are the most important in predicting the quality of wine. After doing this analysis, you […]
AutoML_Classification_Example_for_KNIME_AP_4_4
AutoML Classification Examples_for_KNIME_AP_ver_4_4 Originally: This application is a simple example of AutoML with KNIME Software for regression and […]
justknimeit-24
Challenge 24: Modeling Churn Predictions - Part 2. Description: Just like in last week’s challenge, a telecom company wants you to predict which customers […]
JKISeason2-6
Description: You work for a Marketing agency that monitors the online presence of a few airline companies to understand how they are being reviewed. You […]