Tag: 머신러닝
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금융권 이상거래 탐지 모델 완벽 가이드: AI가 금융사기를 막는 방법
Stop financial fraud with AI: compare Isolation Forest, Autoencoder, XGBoost, and GNN for real-time transaction anomaly detection with code.
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고객 이탈 예측 프로젝트: 실무에서 쓰이는 머신러닝 파이프라인 구축하기
Customer churn pipeline: handle class imbalance, engineer retention features, and deploy XGBoost with 0.87 ROC-AUC. Production-ready code.
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MARL 실전 가이드: QMIX, MAPPO, MADDPG 구현 비교
QMIX vs MAPPO vs MADDPG on cooperative tasks: which multi-agent RL algorithm converges faster? Benchmarks from 10M training steps.
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Feature Engineering 자동화: Featuretools로 10배 효율
Featuretools vs AutoFeat: generate 100+ features in 5 minutes instead of 2 hours. Benchmark results from 3 real datasets.
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Offline RL 정복: CQL, IQL, Decision Transformer 비교
Offline RL showdown: CQL vs IQL vs Decision Transformer on D4RL benchmarks. Train agents without environment interaction.