02-PIA_and_quant
Basic Label Free Quantification Workflow. The workflow first identifies the spectra using X!Tandem and detects the features with the FeatureFinderMultiplex. […]
kn_forum_72596_binary_classification_lightgbm
KNIME forum - binary machine-learning task (72596) https://forum.knime.com/t/outcome-of-a-neural-network-is-too-good-where-did-i-go-wrong/72596/7?u=mlauber71
05_Feature_Selection_exercise
Feature Selection - exercise Introduction to Machine Learning Algorithms course - Session 4 Exercise 5 - Combine previously splitted train and test set - […]
05_Feature_Selection_solution
Feature Selection - solution Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 5 - Combine previously splitted training […]
Challenge 3-3
TAGS: JKISeason3-3
10 Predicting Employee Attrition - Supervised Classification Machine Learning
<p>Predicting Attrition Using Logistic Regression Classification Model With All Features</p>
JKISeason2-20
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HealthInsurance Cross-Sell Prediction with Categorical Feature Engineering
HealthInsurance Cross-Sell--Categorical Feature Engineering This workflow demonstrates use of Auto Categorical Features Embedding component. The […]
JKISeason3-3_sryu
Level: Easy Description: You are a real estate agent working in a new city, and to perform well your first task involves understanding the houses in the […]
07_Sentiment_Classification_with_NGrams
The workflow reads textual data from a csv file and converts the strings into documents. The documents are then preprocessed, i.e. filtered and stemmed. The […]