Category: MLOps & Deployment
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MLflow + FastAPI: $2K/Month Model Serving Side Project
How MLflow tracking + FastAPI serving generates $2K/month with gradient boosting churn prediction. Real architecture, deployment, and pricing.
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Production-Ready Gold Price Prediction: From Jupyter Notebook to REST API
Build a production REST API for gold price forecasting with model versioning, drift detection, and monitoring โ from notebook to deployment.
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DVC vs MLflow for Data Science Project Versioning: Git-Based Pipelines and Model Registry Compared
DVC and MLflow solve different versioning problems. Compare Git-based data pipelines, experiment tracking, and model registry with real code and practical guidance.
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Building a Credit Risk Scoring Model with Machine Learning
Build production-ready credit scoring models with XGBoost and LightGBM. Learn feature engineering, AUC-ROC evaluation, and SHAP interpretability.
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Building an End-to-End Smart Factory AI Pipeline: Case Study and Best Practices
Real-world smart factory AI pipeline: from thermal throttling on edge devices to RL schedulers that violated social constraints. What actually works.
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Deploying a Real-Time CBM Dashboard: End-to-End Pipeline with Alerts and Visualization
Building a production-ready CBM dashboard with Flask, TimescaleDB, and Slack alerts. Full pipeline from sensor ingestion to real-time RUL visualization.