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workshop2_​solutions

<p><strong>Analyze Data: Training a Linear Regression</strong></p><p>This workflow is an example of how to <strong>train and evaluate a basic machine learning model</strong> for a house price prediction task.</p><p>In this case, we train and apply a <strong>Linear Regression</strong> algorithm. However, the <em>Learner-Predictor</em> construct is common to all supervised algorithms.</p>

URL: KNIME Learning Center https://www.knime.com/learning
URL: KNIME Cheat Sheet: Building a KNIME workflow for beginners https://www.knime.com/cheat-sheets/building-knime-workflow-beginners
URL: KNIME Cheat Sheet: Machine learning with KNIME Analytics Platform https://www.knime.com/files/machine-learning-with-knime.pdf
URL: YouTube: Logistic Regression Learner and Predictor https://youtu.be/cS-4trTu_EA?si=aqZaPi7FqO_BlZVt
URL: YouTube: Behind the Scenes of Logistic Regression https://youtu.be/ozIDnbdFRS8?si=YJKRofGfFaowTzM7
URL: Webinar: KNIME101: Machine Learning for Beginners with KNIME https://www.knime.com/events/knime101-machine-learning-beginners-knime

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Emilio Silvestri
Created at: 2019-11-29
On NodePit since: 2026-09-28
Last update: 2026-09-28
Created with KNIME version: v5.5.1
Tags: BeginnerBeginner SpaceGetting StartedData AnalysisMachine LearningPracticing Data ScienceHouse Price PredictionLinear Regression

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