Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Builds end-to-end MLOps pipelines for data preparation, model training, validation, and production deployment.
Calculates and interprets key financial ratios from company statements to facilitate investment analysis and performance benchmarking.
Trains and deploys sophisticated neural network architectures across distributed E2B sandbox environments.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including drug properties, interactions, and molecular structures.
Builds end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Automates complex biomedical research tasks including genomics, drug discovery, and clinical data analysis using an autonomous AI agent framework.
Enables professional-grade spreadsheet creation, formula-driven financial modeling, and data analysis with automated error validation.
Accesses and queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations via E-utilities and Datasets APIs.
Automates tissue detection and tile extraction from gigapixel histopathology images for computational pathology deep learning pipelines.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Integrates Reactome's open-source curated pathway database for biological pathway analysis, gene mapping, and systems biology research.
Generates rigorous, testable scientific hypotheses and detailed experimental designs based on observations and existing literature.
Generates professional, multi-page PDF reports with formatted text, tables, and embedded visualizations using the ReportLab library.
Facilitates the development and management of genomics pipelines on the DNAnexus cloud platform using the dxpy Python SDK and CLI.
Processes and analyzes mass spectrometry data using Python-based spectral similarity metrics and metadata harmonization.
Calculates and interprets key financial ratios from corporate data to provide deep investment and performance insights.
Trains and deploys distributed neural networks within secure E2B sandbox environments using the Flow Nexus framework.
Query and analyze over 240 million scholarly works using the OpenAlex API for research and bibliometric analysis.
Queries NCBI Gene databases to retrieve comprehensive genomic data, including sequences, annotations, and functional pathways.
Develops and deploys specialized machine learning models for healthcare using clinical datasets and medical coding systems.
Automates scientific hypothesis generation and testing by combining observational data with literature-based insights using large language models.
Provides comprehensive cheminformatics capabilities for molecular analysis, property calculation, and 3D coordinate generation.
Predicts high-accuracy 3D binding poses of small molecule ligands to protein targets using state-of-the-art diffusion models.
Automates Excel spreadsheet analysis, data manipulation, and visual reporting using Python-based data science libraries.
Transforms, cleans, and reshapes complex datasets locally using industry-standard Python libraries like pandas and numpy.
Accesses and analyzes the Human Metabolome Database to retrieve detailed metabolite information, chemical properties, and clinical biomarkers.
Accesses and analyzes the Human Metabolome Database to retrieve metabolite data, chemical properties, and clinical biomarkers.
Analyzes hardware capabilities and provides strategic recommendations for computationally intensive scientific tasks.
Infers large-scale gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.
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