A fully modular end-to-end Machine Learning pipeline for Iris flower 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-analysis logistic-regression data-preprocessing data-preparation decision-tree-classifier data-handling machine-learning-models support-vector-classifier modular-architecture end-to-end-machine-learning model-serialization model-evaluation-and-comparison cli-system
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Updated
Nov 18, 2025 - Python