data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Generates detailed markdown reports and regression analysis from forecasting accuracy metrics to automate model benchmarking.
Analyzes investment risk and determines optimal position sizing using advanced financial metrics like Value at Risk and volatility forecasting.
Implements high-performance nonlinear dimensionality reduction for complex data visualization and clustering.
Queries the ClinicalTrials.gov API v2 to retrieve, filter, and export comprehensive clinical trial data for medical research and analysis.
Identifies unusual patterns and outliers in datasets using advanced machine learning algorithms like Isolation Forest and One-Class SVM.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export comprehensive global clinical study data for research and analysis.
Generates professional charts, plots, and graphs from raw data using intelligent visualization selection and analysis.
Automates the adaptation and fine-tuning of pre-trained machine learning models for new tasks and datasets.
Automates the creation and execution of data cleaning and ETL pipelines to prepare datasets for machine learning and analysis.
Installs and manages specialized Nixtla data science and time-series forecasting skills for the Claude Code environment.
Catalogues and manages your suite of Nixtla time-series forecasting skills to provide instant discovery and selection guidance.
Automates the configuration and integration of machine learning experiment tracking tools like MLflow and Weights & Biases.
Provides deep insights into machine learning model predictions and behavior using interpretability techniques like SHAP and LIME.
Analyzes and extracts pharmaceutical data from the DrugBank database to support drug discovery, pharmacology research, and chemical property analysis.
Automates the configuration and integration of MLflow and Weights & Biases for machine learning experiment management.
Automates professional spreadsheet creation, data analysis, and financial modeling with robust formula verification and formatting.
Generates professional Excel pivot tables and visualizations from raw data using natural language commands.
Automates image analysis and computer vision tasks including object detection, classification, and segmentation.
Identifies and analyzes profitable arbitrage opportunities between Polymarket and Kalshi prediction markets.
Forecasts multiple time series in parallel using TimeGPT to optimize throughput and portfolio analysis.
Automates budget vs. actual financial variance analysis in Excel with professional flagging and executive commentary.
Integrates Benchling's life sciences R&D platform to automate lab data management, registry entities, and inventory workflows.
Generates advanced financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment decisions.
Analyzes the emotional tone and polarity of text data to classify content as positive, negative, or neutral.
Transforms diverse data sources into Nixtla-compatible formats for time-series forecasting and analysis.
Orchestrates production-ready forecasting experiments and model benchmarking using the Nixtla ecosystem.
Generates professional-grade financial models including DCF analysis, Monte Carlo simulations, and risk assessment scenarios for investment decision-making.
Analyzes and visualizes high-throughput sequencing data including ChIP-seq, RNA-seq, and ATAC-seq using the deepTools suite.
Tracks and manages AI/ML model versions, performance metrics, and lineage directly within your development environment.
Manages and updates AI model registries, pricing data, and feature capabilities within the MassGen backend ecosystem.
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