Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Optimizes machine learning models by automatically searching for optimal hyperparameter configurations using grid, random, and Bayesian search strategies.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.
Trains, evaluates, and persists machine learning models using automated workflows for classification and regression tasks.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance.
Automates the end-to-end machine learning workflow from dataset analysis and model selection to training and artifact persistence.
Performs advanced regression modeling and data analysis to uncover variable relationships and predict future trends.
Predicts future values and identifies temporal patterns in historical data using advanced statistical modeling and automated analysis.
Predicts future values and identifies temporal patterns in historical data using advanced statistical models like ARIMA and Prophet.
Automates the end-to-end creation, training, and evaluation of machine learning classification models within Claude Code.
Automates the end-to-end creation, training, and evaluation of supervised machine learning classification models.
Constructs and configures complex neural network architectures including CNNs, RNNs, and Transformers using automated build commands.
Automates the design, configuration, and construction of custom neural network architectures like CNNs and Transformers within Claude Code.
Evaluates machine learning model performance using a comprehensive suite of metrics like accuracy, precision, and F1-score.
Executes unsupervised machine learning tasks by applying clustering algorithms like K-means and DBSCAN to analyze data structures and identify groupings.
Provides deep insights into machine learning model predictions and behavior using interpretability techniques like SHAP and LIME.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter optimization.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific tasks and datasets.
Optimizes deep learning models to improve accuracy, reduce training time, and minimize resource consumption using advanced algorithms and scheduling.
Interprets and explains machine learning model predictions and feature importance using techniques like SHAP and LIME.
Builds production-ready AI agents and multi-agent systems using Google's Agent Development Kit for Vertex AI integration.
Predicts future values and identifies temporal patterns in historical data to provide actionable business and technical insights.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, errors, or security threats.
Automates the end-to-end process of training, evaluating, and persisting machine learning models from raw datasets.
Analyzes and processes visual data using advanced computer vision techniques like object detection, image classification, and segmentation.
Evaluates machine learning models by calculating performance metrics like accuracy, precision, and F1-score to guide model optimization.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Automates the design and construction of complex neural network architectures like CNNs, RNNs, and Transformers using simple natural language commands.
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.
Optimizes Large Language Model prompts to reduce token usage, lower operational costs, and improve response quality through concise rewriting.
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