Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Sets up and executes probabilistic inference of ancestral geographic ranges on phylogenetic trees using BioGeoBEARS in R.
Integrates Google Gemini's advanced coding models into Claude Code for high-context refactoring, deep analysis, and automated file editing.
Builds high-performance Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search for grounded AI applications.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Develops high-performance, idiomatic machine learning code for Apple Silicon using the MLX framework.
Standardizes repository workflows for AGILab development, environment management, and AI engineering application deployment.
Integrates Claude with the DNAnexus cloud platform to develop, deploy, and manage genomics pipelines and biomedical data analyses.
Executes unsupervised machine learning algorithms to identify patterns, group data points, and perform cluster analysis on complex datasets.
Exports FiftyOne computer vision datasets to industry-standard formats like COCO, YOLO, and VOC for machine learning training.
Runs machine learning model inference, including detection, classification, and segmentation, directly on FiftyOne datasets.
Evaluates computer vision model predictions against ground truth using industry-standard protocols like COCO and Open Images.
Automates the detection and ingestion of computer vision datasets into FiftyOne with support for multimodal data and complex label formats.
Automates the creation, editing, and analysis of professional spreadsheets with support for complex formulas and financial modeling standards.
Performs differential gene expression analysis for bulk RNA-seq data using the Python implementation of DESeq2.
Builds, fits, and validates robust Bayesian statistical models using the PyMC probabilistic programming framework.
Provides comprehensive cheminformatics capabilities for molecular analysis, structural manipulation, and computational chemistry workflows.
Facilitates biological pathway analysis and gene-mapping by querying the Reactome open-source database and REST API.
Manages academic citations and BibTeX entries by searching scholarly databases and validating metadata for research papers.
Constructs and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within the Claude Code environment.
Develops and trains sophisticated Graph Neural Networks (GNNs) for irregular data structures using the PyTorch Geometric library.
Constructs and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within the Claude Code environment.
Automates the creation of professional-grade Leveraged Buyout (LBO) models in Excel for private equity and investment analysis.
Executes autonomous multi-step biomedical research tasks across genomics, drug discovery, and clinical analysis.
Automates the fine-tuning and adaptation of pre-trained machine learning models for new tasks and datasets.
Identifies outliers and unusual patterns in datasets using advanced machine learning algorithms.
Optimizes deep learning models by refining architectures, tuning hyperparameters, and improving training efficiency.
Develops, deploys, and manages serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank for research, drug discovery, and interaction analysis.
Orchestrates complex multi-agent systems using the AI SDK v5 to facilitate intelligent task routing and seamless agent handoffs.
Transforms raw datasets into insightful charts, plots, and graphs using intelligent data analysis and automated library selection.
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