Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Assesses machine learning model performance using comprehensive metrics to facilitate validation, testing, and optimization workflows.
Generates professional plots, charts, and graphs from raw data with intelligent, automatic visualization type selection.
Builds sophisticated recommendation systems using collaborative filtering, content-based algorithms, and hybrid machine learning models.
Integrates multi-provider AI image generation capabilities into Next.js applications using Replicate and fal.ai.
Processes and analyzes massive tabular datasets exceeding RAM limits using high-performance out-of-core DataFrames.
Enables programmatic access and analysis of the CZ CELLxGENE Census, a collection of over 61 million standardized single-cell genomics records.
Performs rigorous statistical modeling and econometric analysis using Python's statsmodels library for deep data insights.
Analyzes, visualizes, and manipulates complex network structures and graph data using the NetworkX Python library.
Integrates multi-provider AI video generation capabilities into Next.js applications using Replicate and fal.ai.
Provides deep interpretability and explainability for machine learning models using advanced techniques like SHAP and LIME.
Automates laboratory workflows and controls liquid handling robots and analytical equipment through a hardware-agnostic Python interface.
Generates comprehensive, scheduler-aware phylogenomics pipelines from genome assemblies using single-copy orthologs.
Ingests large PDF documents into a RAG pipeline with parallel parsing, S3 storage, and Postgres status tracking.
Configures a unified AI Gateway layer to manage and switch between 200+ large language models through a single interface.
Automates budget vs. actual financial variance analysis with professional reporting, materiality flagging, and executive summaries.
Tracks and manages AI/ML model versions, performance metrics, and lineage for streamlined model registry management.
Renders PDF documents in React applications with specialized support for highlighting AI-generated RAG search results.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.
Builds a full-featured Retrieval-Augmented Generation interface with PDF processing, chat, and citation-linked document viewing.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.
Streamlines automated protein testing and validation through cloud-based laboratory workflows and sequence optimization tools.
Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.
Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.
Connects Claude to the NIH Metabolomics Workbench for comprehensive access to metabolite data, study metadata, and mass spectrometry search capabilities.
Organizes and scales PyTorch code into modular, high-performance deep learning workflows with minimal boilerplate.
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