Idea: Build a pipeline that automatically takes raw data → cleans it → trains models → evaluates them → saves the best model → makes predictions. Pipeline: Raw Dataset ↓ Data Validation ↓ Data Cleaning ↓ Feature Engineering ↓ Train/Test Split ↓ Model Training ↓ Model Evaluation ↓ Best Model ↓ Model Deployment ↓ Prediction API Technologies: Python, Pandas, Scikit-learn, MLflow, FastAPI/Flask, Docker.
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