Data Science & ML Habilidades de Claude
Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
ML Model Explainability
Interprets and explains machine learning model predictions and feature importance using techniques like SHAP and LIME.
ML Model Trainer
Automates the end-to-end process of training, evaluating, and persisting machine learning models from raw datasets.
ML Experiment Tracking Setup
Automates the setup and integration of machine learning experiment tracking tools like MLflow and Weights & Biases.
Google ADK Agent Builder
Builds production-ready AI agents and multi-agent systems using Google's Agent Development Kit for Vertex AI integration.
Time Series Forecaster
Predicts future values and identifies temporal patterns in historical data to provide actionable business and technical insights.
Machine Learning Dataset Splitter
Automates the partitioning of datasets into training, validation, and testing sets for machine learning workflows.
Neural Network Builder
Automates the design and construction of complex neural network architectures like CNNs, RNNs, and Transformers using simple natural language commands.
AutoML Pipeline Builder
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Excel Variance Analyzer
Automates monthly and quarterly budget vs. actual variance analysis in Excel with professional commentary and materiality flagging.
ML Model Explainability Tool
Provides interpretability and transparency for machine learning models by generating explanations for predictions and identifying feature importance.
Transfer Learning Adapter
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific tasks and datasets.
LLM Prompt Optimizer
Optimizes Large Language Model prompts to reduce token usage, lower operational costs, and improve response quality through concise rewriting.
AI Ethics Validator
Validates ethical implications, fairness metrics, and bias detection in AI/ML models and datasets to ensure responsible development.
Deep Learning Model Optimizer
Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and training efficiency improvements.
ML Model Trainer
Automates the end-to-end machine learning workflow including data analysis, model selection, training, and performance evaluation.
Multi-Agent System Orchestrator
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.
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.
Data Visualization Creator
Transforms raw data into informative charts, graphs, and visual plots to simplify complex data analysis and reporting.
AI Sentiment Analysis
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral for customer feedback and social media monitoring.
ML Model Deployment Helper
Automates the transition of machine learning models from development to production through API generation, containerization, and cloud deployment.
Recommendation Engine Builder
Builds and implements personalized recommendation systems using collaborative, content-based, or hybrid filtering techniques.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and sentiment polarity for customer feedback, social media insights, and opinion mining.
Regression Analysis Tool
Automates regression modeling and predictive data analysis to identify trends and relationships between variables.
Text Sentiment Analysis
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Transfer Learning Model Adapter
Automates the adaptation and fine-tuning of pre-trained machine learning models for specific datasets and tasks.
Automated Data Preprocessing Pipelines
Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.
NLP Text Analyzer
Performs comprehensive natural language processing tasks including sentiment analysis and keyword extraction directly within the Claude Code environment.
Model Deployment Helper
Automates the transition of machine learning models from development to production through API generation and containerization.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and polarity for customer feedback, social media monitoring, and opinion mining.
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