data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Builds, tunes, and evaluates production-ready classification and regression models using industry-standard machine learning algorithms.
Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks within development workflows.
Manages large-scale scientific dataset transfers between remote Globus endpoints and high-performance computing clusters.
Integrates the Google Gemini CLI into Claude to provide large-context analysis, safe sandbox execution, and structured code modifications.
Optimizes KINTSUGI batch processing by enforcing GPU-only SLURM scheduling to achieve up to 25x speedups over CPU fallback.
Provides a comprehensive suite of statistical modeling tools for rigorous inference, hypothesis testing, and econometric analysis in Python.
Implements granular skip-existing checks in Snakemake wrapper scripts to resume interrupted HPC jobs without re-processing completed channels.
Fetches, searches, and manages academic papers from arXiv through a local CLI-based database.
Analyzes genomic VCF files to provide personalized insights on health, metabolism, and genetic traits.
Automates biomedical literature searches and data retrieval from the PubMed database using advanced MeSH queries and the E-utilities API.
Enhances multiplex immunofluorescence images by applying range-specific weights to remove background noise while preserving delicate biological signals.
Generates and transforms high-quality images using Google's Gemini models through customizable Python scripts.
Guides the selection of the optimal Claude model for custom agent tasks based on cost, speed, and reasoning requirements.
Streamlines the design and architecture of domain-specific AI agents using Claude Agent SDK patterns.
Automates laboratory workflows and controls liquid handling robots, plate readers, and analytical equipment through a unified Python interface.
Corrects multi-action trading logic bugs and optimizes backtesting notebooks for Google Colab environments.
Analyzes textual data to extract sentiments, keywords, and core topics using advanced natural language processing techniques.
Develops high-performance reinforcement learning systems with optimized PPO training, vectorized simulations, and multi-agent support.
Processes and prepares whole slide pathology images for deep learning and digital pathology workflows.
Analyzes mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
Streamlines machine learning workflows in Python by providing expert guidance on scikit-learn algorithms, data preprocessing, and production-ready pipelines.
Facilitates advanced probabilistic modeling and analysis of single-cell omics data using deep generative models.
Generates professional, publication-quality statistical graphics and complex multi-panel data visualizations using Python's Seaborn library.
Enables parallel and distributed computing for Python data science workflows to process datasets larger than available memory.
Synchronizes and updates the latest LLM model specifications, pricing, and API documentation automatically.
Builds comprehensive financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for investment and valuation decisions.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Performs exact symbolic computation, calculus, and equation solving in Python to handle complex mathematical formulas without numerical approximation.
Analyzes Interactive Brokers CSV statements to uncover trading edges, identify risk management patterns, and generate professional performance reports.
Optimizes mean-reversion trading strategy parameters through real-time performance analysis and pattern identification.
Scroll for more results...