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Table of Contents Toggle 🚀 Building an End-to-End Iris Classification Pipeline using Airflow, Flask, and Docker📁 Project Folder Structure⚙️ Step-by-Step Breakdown✅ 1. Data – data/iris_train.csv✅ 2. Training Script – iris-train-model.py✅ 3. Flask API – app.py✅ 4. Airflow DAG – iris_pipeline_dag.py✅ 5. Dockerfile✅ 6. Requirements – requirements.txt✅ 7. Airflow Setup – Airflow_Setup_Steps.txt🧪 Testing the Flask API✅ Conclusion 🚀 Building an End-to-End Iris Classification Pipeline using Airflow, Flask, and Docker In this blog, we’ll walk through how

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