Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Optimizes machine learning model performance by automatically identifying and implementing the most effective hyperparameter configurations.
Automates the creation of optimized configuration files for deploying PyTorch models via TorchServe.
Orchestrates sophisticated multi-agent workflows using the AI SDK v5 to facilitate task delegation, intelligent routing, and agent handoffs.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or system irregularities.
Automates the end-to-end creation, training, and evaluation of supervised machine learning classification models.
Automates the end-to-end creation, training, and evaluation of machine learning classification models within Claude Code.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.
Enhances machine learning model performance by automating feature creation, selection, and transformation tasks.
Optimizes machine learning model performance by automatically searching for the most effective hyperparameter configurations.
Optimizes machine learning models by automatically searching for optimal hyperparameter configurations using grid, random, and Bayesian search strategies.
Trains, evaluates, and persists machine learning models using automated workflows for classification and regression tasks.
Automates the end-to-end machine learning workflow from dataset analysis and model selection to training and artifact persistence.
Performs advanced regression modeling and data analysis to uncover variable relationships and predict future trends.
Predicts future values and identifies temporal patterns in historical data using advanced statistical models like ARIMA and Prophet.
Predicts future values and identifies temporal patterns in historical data using advanced statistical modeling and automated analysis.
Analyzes the emotional tone of text data to classify content as positive, negative, or neutral for enhanced data insights.
Executes unsupervised machine learning algorithms to discover patterns and group data points within complex datasets.
Assesses machine learning model performance through comprehensive metric analysis, including accuracy, precision, and F1-scores.
Automates the end-to-end process of building, training, and evaluating machine learning classification models within Claude Code.
Orchestrates complex multi-agent systems and intelligent task routing using the Vercel AI SDK v5.
Analyzes text data to extract sentiment, keywords, and topics using advanced natural language processing techniques.
Forecasts future values and identifies temporal patterns in historical data using advanced statistical modeling.
Automates the partitioning of datasets into training, validation, and testing sets for machine learning development.
Optimizes machine learning models by automatically searching for the best hyperparameter configurations using advanced search strategies.
Identifies statistical outliers and data irregularities using machine learning algorithms to uncover fraud, security threats, or system errors.
Automates the end-to-end creation of machine learning pipelines, including feature engineering, model selection, and hyperparameter tuning.
Evaluates machine learning model performance using comprehensive metrics like accuracy, precision, and F1-score to ensure model quality.
Builds and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within Claude Code.
Evaluates machine learning models using a comprehensive suite of performance metrics to ensure accuracy and reliability.
Constructs sophisticated recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches to personalize user experiences.
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