Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.
Partitions datasets into training, validation, and testing sets to streamline machine learning model development.
Refines LLM prompts to minimize token usage, reduce operational costs, and maximize output quality through intelligent rewriting.
Performs advanced natural language processing to extract sentiment, keywords, and topics from any textual data.
Architects, implements, and deploys production-grade AI applications using Firebase Genkit across Node.js, Python, and Go.
Automates the creation of professional Excel pivot tables and data visualizations using natural language commands.
Automates the end-to-end creation, training, and evaluation of supervised classification models from labeled datasets.
Streamlines data cleaning, transformation, and validation through automated pipelines to prepare raw datasets for machine learning and analysis.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific datasets and tasks.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance.
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.
Optimizes LLM prompts to reduce token usage, lower costs, and enhance response performance through intelligent rewriting.
Optimizes LLM prompts to minimize token consumption and maximize response quality for more efficient AI interactions.
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 the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter optimization.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Executes and analyzes machine learning clustering algorithms to identify patterns, groups, and anomalies within datasets.
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.
Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.
Automates data cleaning, transformation, and validation to streamline the preparation of raw datasets for machine learning and analysis.
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.
Transforms raw data into insightful visual representations like charts, plots, and graphs through intelligent automated selection and analysis.
Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient code generation.
Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve performance and efficiency.
Automates the integration and configuration of MLflow and Weights & Biases for machine learning experiment management.
Automates the setup and integration of machine learning experiment tracking tools like MLflow and Weights & Biases.
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