Icon05_​Feature_​Selection_​solution 

Feature Selection - solution Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 5 - Combine previously splitted […]

IconCS-103 Rise of the Microbrew - Part 03 End Local Monopoly v05 

[Case Studies] CS-103 Rise of the Microbrew - Part 03 End Local Monopoly (National Distribution) Market Simulation of the early beer industry when trains […]

IconDetermine_​peak_​lengths 

Determines the peak lengths (feature lengths) of the given data.

Interactive Column Filter (Simple) 

This Component creates an interactive view to filter and select columns for your model based on the relevance of the columns to the ground truth specified. […]

IconTitanic_​054_​Phase_​3_​Fare 

Titanic: Phase 3 (Data Preparation) Fare, Ticket => TicketCount, LogFare, FareBinned URL: Data Science Training - Kapitel 5 […]

IconModel Training 

Accuracy Section. Extraction and comparison of the accuracies achieved by the towed models respectively with and without feature Selection

IconRandom Forest Feature Importance 

20211229 Pikairos Feature Selection for Random Forest Classification URL: Feature Selection for Random Forest Classification […]

IconSimilarity in trend 

Similarity in trend This workflow demonstrates how to compare time series in terms of their trend, as an answer to a KNIME Forum post URL: Matching […]

Icon01_​Iris_​Classification_​ANN_​Exercise 

Exercise of the L4-DL Deep Learning Specialization course. The goal is to train a multilayer Perceptron with 4-8-3 layers, using BackPropagation, to […]