Data Science & ML Habilidades de Claude

Denario AI Research Assistant

Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX papers.

Bayesian Modeling in R

Facilitates advanced Bayesian statistical modeling in R using Stan-based packages for comprehensive data analysis and inference.

Tidymodels Workflow Patterns

Implements end-to-end machine learning pipelines in R using the tidymodels ecosystem, from data splitting to model deployment.

Genomics Analysis in R

Simplifies complex bioinformatics workflows in R using Bioconductor for RNA-seq, microarray, and single-cell genomic analysis.

Tidymodels Hyperparameter Tuning

Optimizes machine learning models using comprehensive hyperparameter tuning patterns within the R Tidymodels ecosystem.

UMAP Dimensionality Reduction

Performs fast, scalable nonlinear dimensionality reduction for high-dimensional data visualization, clustering, and feature engineering.

Tidymodels Model Evaluation

Evaluates machine learning model performance using R's yardstick and tidymodels ecosystem for robust classification and regression analysis.

Clinical Trials Statistical Methods

Performs comprehensive clinical trial design and statistical analysis in R, covering sample size calculation, randomization, and regulatory-compliant modeling.

CSV Data Summarizer

Analyzes CSV files automatically to generate comprehensive statistical summaries and context-aware visualizations using Python and pandas.

Theory2 Physics & Math Tooling

Performs advanced mathematical physics computations, symbolic algebra, and automated theorem proving using the Theory2 suite.

A2A Executor Patterns

Implements standardized Agent-to-Agent (A2A) protocol executors with production-ready patterns for task management and agent coordination.

Scientific Visualization & Figure Design

Generates publication-ready scientific figures and multi-panel layouts following strict journal specifications for Nature, Science, and Cell.

Scientific Exploratory Data Analysis

Performs automated exploratory data analysis and generates comprehensive reports for over 200 scientific file formats.

Plotly Interactive Visualization

Generates interactive, publication-quality Python charts and dashboards for data exploration and presentation.

PyTorch Geometric (PyG)

Develops and trains Graph Neural Networks (GNNs) for node classification, link prediction, and geometric deep learning tasks.

AgentDB Learning Plugins

Implements and trains advanced reinforcement learning algorithms to create autonomous agents that evolve through experience.

Scikit-learn Machine Learning

Builds, evaluates, and deploys production-ready machine learning models using the industry-standard scikit-learn library.

Flow Nexus Neural Networks

Trains and deploys complex neural network architectures within distributed E2B sandbox environments for scalable machine learning workflows.

SHAP Model Explainability

Explains machine learning model predictions and feature importance using SHAP values and comprehensive visualizations.

Polars Data Engineering

Accelerates data manipulation and ETL pipelines with the high-performance Polars DataFrame library.

Excel & Data Analysis Toolkit

Creates, edits, and analyzes Excel spreadsheets with professional formatting, automated formula recalculation, and integrated data visualization.

RAG Implementation & Optimization

Builds and optimizes Retrieval-Augmented Generation (RAG) systems using advanced vector search, semantic chunking, and retrieval patterns.

ReasoningBank AgentDB Adaptive Learning

Implements high-performance adaptive learning and memory distillation for self-improving AI agents using AgentDB.

FRED Economic Data

Queries the Federal Reserve Economic Data (FRED) API to retrieve over 800,000 economic time series for financial research and macroeconomic analysis.

PyMC Bayesian Modeling

Streamlines the creation, fitting, and validation of Bayesian models using PyMC's modern probabilistic programming interface.

Cirq Quantum Computing

Designs, simulates, and executes quantum circuits using Google's Cirq framework for NISQ-era hardware and noise-aware algorithms.

Data Commons Client

Provides programmatic access to global statistical data for demographic, economic, and environmental research.

Denario Scientific Research Assistant

Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.

Adaptyv Protein Design & Validation

Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.

PyTDC (Therapeutics Data Commons)

Accesses AI-ready drug discovery datasets and benchmarks for therapeutic machine learning and pharmacological prediction.