A fully modular end-to-end Machine Learning pipeline for Iris classification. Includes data preparation, scaling, model training, evaluation, performance comparison, and a CLI-based prediction system using Logistic Regression, Decision Tree, and SVC. Designed as a clean template for beginners to understand core ML workflow.
exploratory-data-analysislogistic-regressiondata-preprocessingdata-preparationdecision-tree-classifierdata-handlingmachine-learning-modelssupport-vector-classifiermodular-architectureend-to-end-machine-learningmodel-serializationmodel-evaluation-and-comparisoncli-system
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Updated
Nov 18, 2025 - Python