data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Transforms raw data into insightful visual representations like charts, plots, and graphs through intelligent automated selection and analysis.
Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve performance and efficiency.
Partitions raw datasets into training, validation, and testing sets to streamline machine learning model development.
Automates the partitioning of datasets into training, validation, and testing sets for machine learning workflows.
Automates the construction and configuration of deep learning architectures including CNNs, RNNs, and Transformers using standardized implementation patterns.
Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.
Processes and analyzes images using computer vision techniques to perform object detection, image classification, and segmentation.
Executes and analyzes machine learning clustering algorithms to identify patterns, groups, and anomalies within datasets.
Analyzes and processes images using computer vision techniques like object detection, classification, and segmentation.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter optimization.
Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.
Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 framework.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, errors, or security threats.
Automates data cleaning, transformation, and validation to streamline the preparation of raw datasets for machine learning and analysis.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development.
Analyzes AI/ML models and datasets for potential biases and ethical concerns to ensure responsible AI development.
Performs statistical regression analysis and predictive modeling to identify relationships between variables and forecast data trends.
Performs comprehensive natural language processing tasks including sentiment analysis and keyword extraction directly within the Claude Code environment.
Automates the end-to-end machine learning workflow including data analysis, model selection, training, and performance evaluation.
Builds production-grade AI agents using the Agent Development Kit (ADK) with a focus on architecture, testing, and automated deployment.
Builds production-ready AI agents and multi-agent systems using Google's Agent Development Kit for Vertex AI integration.
Refines and compresses LLM prompts to minimize token usage and maximize output quality.
Optimizes LLM prompts to minimize token consumption and maximize response quality for more efficient AI interactions.
Removes batch effects from merged bulk RNA-seq or microarray cohorts using the ComBat algorithm to ensure data consistency for downstream analysis.
Generates professional PDF reports with formatted text, tables, and embedded visualizations using the reportlab Python library.
Identifies outliers and unusual patterns in datasets using machine learning algorithms to uncover potential errors, fraud, or security threats.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI platform and Gemini models.
Generates informative and visually appealing charts, plots, and graphs through intelligent data analysis and automated selection of optimal visualization types.
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