Machine Learning KNIME Hands-On Series (Day 4) | Logistic Regression

📊 Logistic Regression in KNIME | Hands-On Tutorial for Beginners

Are you learning Machine Learning in KNIME? In this step-by-step tutorial, we’ll cover Logistic Regression in KNIME Analytics Platform using a real dataset (PIMA Indians Diabetes Dataset).

You’ll learn how to:
✅ Import and explore datasets in KNIME
✅ Perform data preprocessing (missing values, normalization, categorical encoding)
✅ Create train-test splits for modeling
✅ Build a Logistic Regression model in KNIME
✅ Generate predictions and probabilities
✅ Evaluate performance using Confusion Matrix, Accuracy, Precision, Recall & F1 Score

By the end of this video, you’ll know how to use Logistic Regression for classification problems in KNIME, and you’ll be able to apply it to your own datasets.

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Видео Machine Learning KNIME Hands-On Series (Day 4) | Logistic Regression канала InquisitiveMinds - AI