Exercise1
KBL: Chapter 2 Exercise 1 Reading data, filtering rows and columns, writing to CSV files URL: KNIME Beginner's Luck (Book Homepage) […]
JKISeason3-20_tofusa
Within each decade: (1) what average budget was spent per genre? (2) what was the average revenue per genre? (3) what were the main features of its […]
06_Random_Forest
06_Random_Forest E-learning course exercise. Train a Random Forest model to predict letters based on their image […]
02_ETL_Basics Exercicio da internet
On sales2008-2011.csv data set a number of ETL operations are performed. Besides showing what ETL features are, the goal of this workflow is to move from a […]
06_Random_Forest
06_Random_Forest E-learning course exercise. Train a Random Forest model to predict letters based on their image […]
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 […]
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 […]
s_415_h2o_automl_classification_r
H2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning […]