JKI-S3_challenge30
<p>Level: Hard<br>Description: You work for a company that wants to improve its support for customers. Once a customer submits a question, a […]
s_415_h2o_automl_classification_r
H2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning […]
06_Random_Forest - Solution
06_Random_Forest - Solution Solution to an e-learning course exercise. Train a Random Forest model to predict letters based on their image […]
03_DoG_Node
This tutorial introduces an image enhancement algorithm that substracts a blurred version of an image from a lower blurred version of the original image to […]
03_Bioactivity_Prediction_Learn_All_Methods
This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building where four machine learning methods are […]
JKISeason3-18_ayato
<p><strong>Explaining Cancer Predictions</strong></p><p><strong>Challenge 18</strong></p><p><br><strong>Level: </strong>Hard<br><br><strong>Description: […]
06_Random_Forest - Solution
06_Random_Forest - Solution Solution to an e-learning course exercise. Train a Random Forest model to predict letters based on their image […]
Adult_Classification
<ol><li><p><s>Conduct data pre-processing and feature selection.</s></p></li><li><p><s>Try at least three different machine learning […]
s_410_h2o_automl_classification_python
H2O.ai AutoML in KNIME for classification problems a powerful auto-machine-learning […]
JKISeason3-30_tofusa
Description: You work for a company that wants to improve its support for customers. Once a customer submits a question, a system should find similar […]