This skill should be used when building machine learning modeling tasks with the EasyMLOps framework (pip install easymlops), including business task playbooks. Covers Pipeline-based table data modeling (cleaning, encoding, feature selection, decomposition, FM/DeepFM, classification/regression), NLP tasks, time series, YOLO vision, OCR, AutoML, model persistence, and FastAPI deployment. Business playbooks with iterative optimization workflows: 核保风控 underwriting, 理赔风控 claims risk/fraud, 反欺诈反洗钱 anti-fraud/AML, 易续保 renewal, 客户流失 churn, 推荐系统/交叉销售 recommendation/cross-sell CTR, 催收评分 collection, 营销响应 marketing uplift, 车险定价/赔付金额/医疗费用预测 pricing, 保费收入/赔付率/需求销量时序预测 forecasting. Triggers include EasyMLOps, TablePipeLine, FM, WOE, IV, 核保, 理赔, 续保, 流失, 反欺诈, 推荐系统, 特征工程, 模型部署.
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