data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Categorizes text, detects sentiment, and filters spam using pre-trained and custom-trained machine learning models.
Detects structural breaks and regime shifts in financial time-series using Gaussian Process models to identify market transitions.
Streamlines the development of PySpark ETL pipelines and distributed data processing workflows.
Provides a rapid diagnostic summary of Sparse Autoencoder (SAE) features to generate research hypotheses and identify model behaviors.
Optimizes GPU memory usage across multiple AI services by implementing automated VRAM management, retry logic, and inter-service signaling.
Streamlines the creation, manipulation, and visualization of multidimensional histograms using the scikit-hep Python ecosystem.
Systematically diagnoses and resolves Scikit-learn errors, data integrity issues, and model convergence failures.
Implement production-ready Retrieval-Augmented Generation (RAG) systems to ground LLM responses in external knowledge and proprietary data.
Refactors Scikit-learn and machine learning code into production-ready pipelines that ensure reproducibility and prevent data leakage.
Builds end-to-end MLOps pipelines to automate data preparation, model training, validation, and production deployment.
Implements professional-grade trend-following strategies, volatility targeting, and multi-scale momentum indicators for financial data analysis.
Integrates multiple academic databases including PubMed, Semantic Scholar, and OpenAlex for comprehensive literature reviews and full-text retrieval.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Automates time series forecasting by analyzing historical data trends and generating predictive models with confidence intervals.
Builds and analyzes phylogenetic trees using distance-based, maximum likelihood, and Bayesian inference methods.
Optimizes GPU VRAM usage through OOM retry logic, idle auto-unloading, and inter-service memory coordination protocols.
Provides expert guidance for conducting and reviewing Matching-Adjusted Indirect Comparisons (MAIC) in clinical data analysis.
Generates text-based visualizations and comprehensive reports to analyze the relationship between typographic errors and semantic drift in experimental data.
Implements robust evaluation frameworks for Large Language Model applications using automated metrics, human feedback, and statistical testing.
Provides expert methodological guidance and implementation patterns for conducting rigorous Simulated Treatment Comparisons (STC) in clinical trial analysis.
Automates hyperparameter tuning and model selection using intelligent search strategies like Bayesian optimization.
Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.
Automates complex time-series forecasting pipelines including trend analysis, seasonality detection, and multi-model predictions.
Configures Google ADK bidirectional streaming to build low-latency, multimodal AI agents with real-time voice and video capabilities.
Integrates multiple LLM providers using isolated interfaces and normalized data structures for consistent AI implementation.
Constructs sophisticated, stateful AI agent workflows and graph-based logic using LangGraph best practices.
Performs automated regression modeling and statistical analysis to uncover relationships between variables and predict numerical outcomes.
Optimizes and crafts high-performance LLM prompts using research-backed techniques like Chain-of-Thought and Few-Shot learning.
Automates the creation, formatting, and analysis of professional-grade Excel spreadsheets and financial models.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets and financial models with dynamic formulas and rigorous verification.
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