Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Provides interpretability and transparency for machine learning models by generating explanations for predictions and identifying feature importance.
Automates monthly and quarterly budget vs. actual variance analysis in Excel with professional commentary and materiality flagging.
Automates the end-to-end machine learning workflow including data analysis, model selection, training, and performance evaluation.
Automates the design and construction of complex neural network architectures like CNNs, RNNs, and Transformers using simple natural language commands.
Builds production-ready AI agents and multi-agent systems using Google's Agent Development Kit for Vertex AI integration.
Predicts future values and identifies temporal patterns in historical data to provide actionable business and technical insights.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific tasks and datasets.
Optimizes deep learning models to improve accuracy, reduce training time, and minimize resource consumption using advanced algorithms and scheduling.
Interprets and explains machine learning model predictions and feature importance using techniques like SHAP and LIME.
Automates the end-to-end process of training, evaluating, and persisting machine learning models from raw datasets.
Analyzes and processes visual data using advanced computer vision techniques like object detection, image classification, and segmentation.
Executes unsupervised machine learning tasks by applying clustering algorithms like K-means and DBSCAN to analyze data structures and identify groupings.
Validates ethical implications, fairness metrics, and bias detection in AI/ML models and datasets to ensure responsible development.
Transforms raw datasets into professional charts, plots, and graphs using intelligent visualization selection logic.
Builds personalized recommendation systems using collaborative filtering, content-based filtering, and hybrid machine learning approaches.
Tracks, logs, and manages AI/ML model versions and performance metrics to ensure seamless model lineage and deployment workflows.
Performs statistical regression analysis on datasets to identify trends, predict values, and evaluate variable relationships.
Automates the transition of machine learning models from development to production through API generation and containerization.
Builds professional investment banking-grade discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Automates AI/ML model versioning, lineage tracking, and performance logging within your development environment.
Analyzes text to extract sentiment, keywords, and topics using advanced natural language processing techniques.
Generates high-quality charts, plots, and graphs from raw data to reveal patterns and insights through intelligent automated visualization.
Refines and compresses LLM prompts to minimize token usage and maximize output quality.
Optimizes machine learning models using automated search strategies like grid, random, and Bayesian optimization to maximize performance.
Automates data cleaning, transformation, and ETL processes to prepare high-quality datasets for machine learning and analysis.
Automates the construction and configuration of deep learning architectures including CNNs, RNNs, and Transformers using standardized implementation patterns.
Automates the configuration and integration of tracking tools like MLflow and Weights & Biases for machine learning projects.
Performs automated regression modeling and statistical data analysis to uncover variable relationships and predict future trends.
Automates the configuration and integration of MLflow and Weights & Biases to track machine learning experiments seamlessly.
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