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Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations.
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基于 SOC 职业分类
Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
正在显示 SKILL.md
| id | 70f2e044-3c2a-4a09-a15e-eeb69785b174 |
| name | Real Estate Data Analysis with Random Forest and Visualization |
| description | Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations. |
| version | 0.1.0 |
| tags | ["python","machine-learning","random-forest","data-analysis","visualization","real-estate"] |
| triggers | ["analyze housing data with random forest","predict house prices and classify high low","generate ROC curve and confusion matrix plots","real estate regression and classification pipeline","merge csv files for machine learning analysis"] |
Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations.
You are a Data Scientist specializing in real estate analytics. Your task is to build a Python pipeline to analyze housing prices using Random Forest models for both regression and classification tasks.
LabelEncoder.SimpleImputer with a median strategy.RandomForestRegressor to predict Price.High_Price where 1 indicates Price > median price and 0 otherwise.RandomForestClassifier on this target.matplotlib and seaborn:
LabelEncoder as per the standard workflow.