Data Science & ML Claude 技能
发现data science & ml类别的 Claude 技能。浏览 61 个技能，找到适合您 AI 工作流程的完美功能。
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and sentiment polarity for customer feedback, social media insights, and opinion mining.
Multi-Agent System Orchestrator
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.
ML Model Explainability Tool
Provides interpretability and transparency for machine learning models by generating explanations for predictions and identifying feature importance.
LLM Prompt Optimizer
Optimizes Large Language Model prompts to reduce token usage, lower operational costs, and improve response quality through concise rewriting.
Data Visualization Creator
Transforms raw data into informative charts, graphs, and visual plots to simplify complex data analysis and reporting.
Regression Analysis Tool
Automates regression modeling and predictive data analysis to identify trends and relationships between variables.
ML Model Deployment Helper
Automates the transition of machine learning models from development to production through API generation, containerization, and cloud deployment.
AI Model Versioning Tracker
Manages AI/ML model lineages and performance metrics within development workflows.
ADK Agent Engineer
Builds production-grade AI agents using the Agent Development Kit (ADK) with a focus on architecture, testing, and automated deployment.
Excel Variance Analyzer
Automates monthly and quarterly budget vs. actual variance analysis in Excel with professional commentary and materiality flagging.
ML Model Trainer
Automates the end-to-end machine learning workflow including data analysis, model selection, training, and performance evaluation.
AI Model Versioning Tracker
Manages and tracks AI/ML model versions, lineage, and performance metrics within a centralized registry.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and polarity for customer feedback, social media monitoring, and opinion mining.
Bulk RNA-seq Batch Correction
Removes batch effects from merged bulk RNA-seq or microarray cohorts using the ComBat algorithm to ensure data consistency for downstream analysis.
PDF Report Generation
Generates professional PDF reports with formatted text, tables, and embedded visualizations using the reportlab Python library.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Prompt Optimization
Refines and streamlines LLM prompts to minimize token consumption, reduce operational costs, and maximize response quality.
Data Visualization Creator
Generates informative and visually appealing charts, plots, and graphs through intelligent data analysis and automated selection of optimal visualization types.
Deep Learning Optimizer
Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve accuracy and efficiency.
Clustering Algorithm Runner
Executes and visualizes machine learning clustering algorithms to identify groups and structures within provided datasets.
AI SDK Agent Orchestration
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated workflows across multiple AI providers.
AI Ethics Validator
Evaluates and improves the ethical integrity and fairness of AI models and datasets through automated bias detection and mitigation strategies.
Regression Analysis & Modeling
Performs regression analysis and predictive modeling to identify relationships between variables and forecast future data trends.
Data Anomaly Detection
Identifies outliers and unusual patterns in datasets using machine learning algorithms to uncover potential errors, fraud, or security threats.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Vertex AI Agent Builder
Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI platform and Gemini models.
Dataset Partitioning
Automates the division of datasets into training, validation, and testing subsets for machine learning workflows.
Deep Learning Model Optimizer
Optimizes deep learning models to improve accuracy, reduce training duration, and minimize resource consumption through advanced algorithms and architectural analysis.
Genkit Production Expert
Builds and deploys production-grade Firebase Genkit applications including RAG systems, multi-step workflows, and AI monitoring across Node.js, Python, and Go.
Recommendation System Builder
Designs and implements personalized recommendation engines using collaborative filtering, content-based filtering, and hybrid modeling techniques.
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