data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates the installation and configuration of Ollama for local LLM deployment and cost-free AI development within Claude Code.
Automates the creation of optimized configuration files for deploying PyTorch models via TorchServe.
Analyzes the emotional tone of text data to classify content as positive, negative, or neutral for enhanced data insights.
Executes unsupervised machine learning algorithms to discover patterns and group data points within complex datasets.
Assesses machine learning model performance through comprehensive metric analysis, including accuracy, precision, and F1-scores.
Automates the end-to-end process of building, training, and evaluating machine learning classification models within Claude Code.
Orchestrates complex multi-agent systems and intelligent task routing using the Vercel AI SDK v5.
Analyzes text data to extract sentiment, keywords, and topics using advanced natural language processing techniques.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific datasets and tasks.
Automates the creation of professional Excel pivot tables and data visualizations using natural language commands.
Automates the end-to-end creation, training, and evaluation of supervised classification models from labeled datasets.
Streamlines data cleaning, transformation, and validation through automated pipelines to prepare raw datasets for machine learning and analysis.
Architects, implements, and deploys production-grade AI applications using Firebase Genkit across Node.js, Python, and Go.
Partitions datasets into training, validation, and testing sets to streamline machine learning model development.
Refines LLM prompts to minimize token usage, reduce operational costs, and maximize output quality through intelligent rewriting.
Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.
Evaluates machine learning models using a comprehensive suite of performance metrics to ensure accuracy and reliability.
Automates the end-to-end creation of machine learning pipelines, including feature engineering, model selection, and hyperparameter tuning.
Performs advanced natural language processing to extract sentiment, keywords, and topics from any textual data.
Constructs sophisticated recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches to personalize user experiences.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance.
Predicts future values and identifies temporal patterns in historical data using advanced statistical models like ARIMA and Prophet.
Optimizes machine learning models by automatically searching for optimal hyperparameter configurations using grid, random, and Bayesian search strategies.
Predicts future values and identifies temporal patterns in historical data using advanced statistical modeling and automated analysis.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.
Identifies statistical outliers and data irregularities using machine learning algorithms to uncover fraud, security threats, or system errors.
Evaluates machine learning model performance using comprehensive metrics like accuracy, precision, and F1-score to ensure model quality.
Builds and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within Claude Code.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or system irregularities.
Orchestrates sophisticated multi-agent workflows using the AI SDK v5 to facilitate task delegation, intelligent routing, and agent handoffs.
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