Data Science & ML Claudeスキル

Deep Learning Model Optimizer

Optimizes deep learning models by automatically adjusting architectures, learning rates, and training parameters to improve performance and efficiency.

Deep Learning Model Optimizer

Optimizes deep learning model performance by refining architectures, tuning hyperparameters, and accelerating training workflows.

ML Experiment Tracking Adapter

Automates the configuration and initialization of experiment tracking tools like MLflow and Weights & Biases for machine learning workflows.

ML Experiment Tracking Setup

Automates the configuration and integration of MLflow and Weights & Biases for machine learning experiment management.

Machine Learning Feature Engineering

Automates feature creation, selection, and transformation to optimize machine learning model performance and data preparation.

Machine Learning Feature Engineering

Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.

Hyperparameter Tuning & Optimization

Automates the discovery of optimal machine learning model configurations using grid search, random search, and Bayesian optimization.

ML Hyperparameter Optimizer

Optimizes machine learning models using automated grid, random, and Bayesian search strategies to maximize predictive performance.

Automated ML Model Trainer

Automates the machine learning lifecycle by analyzing datasets, selecting optimal algorithms, and training models with cross-validation.

Automated ML Training

Automates the end-to-end machine learning workflow by analyzing datasets, selecting optimal model types, and generating production-ready model artifacts.

Machine Learning Model Deployment Adapter

Automates the transition of machine learning models from development to production environments through API generation and containerization.

ML Model Deployment Adapter

Automates the deployment and serving of machine learning models into production environments using industry best practices.

Machine Learning Model Evaluation

Evaluates machine learning model performance using a comprehensive suite of metrics to facilitate data-driven optimization and validation.

Machine Learning Model Evaluator

Evaluates machine learning model performance using a comprehensive suite of metrics to ensure accuracy and reliability.

ML Model Explainability

Provides deep insights into machine learning model predictions using interpretability techniques like SHAP and LIME.

ML Model Explainability & Interpretation

Provides deep insights into machine learning model predictions and feature importance using interpretability techniques like SHAP and LIME.

AI Model Versioning Tracker

Tracks and manages AI/ML model versions, lineage, and performance metrics within your development workflow.

Model Versioning Tracker

Tracks and manages AI/ML model versions, performance metrics, and lineage within Claude Code workflows.

Neural Network Builder

Automates the design and configuration of deep learning architectures including CNNs, RNNs, and Transformers through natural language commands.

Neural Network Builder

Constructs and configures complex neural network architectures using natural language commands within Claude Code.

NLP & Text Analysis

Analyzes text data to perform sentiment analysis, keyword extraction, and topic modeling using advanced NLP techniques.

NLP Text Analyzer

Performs advanced natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling to derive actionable insights from text.

Recommendation System Builder

Builds personalized recommendation engines using collaborative filtering, content-based filtering, and hybrid machine learning models.

Recommendation System Engine

Automates the design and implementation of personalized recommendation systems using collaborative, content-based, and hybrid filtering techniques.

Regression Analysis & Modeling

Performs automated regression analysis and predictive modeling to identify relationships between variables and forecast future data points.

Regression Analysis & Modeling

Automates regression modeling and data analysis to identify relationships between variables and generate predictive insights.

Text Sentiment Analysis

Classifies the emotional tone of text data to identify positive, negative, and neutral sentiments in customer feedback and social media.

Text Sentiment Analysis

Analyzes the emotional tone and polarity of text data to provide insights into customer feedback and public opinion.

Time Series Forecasting

Forecasts future values and identifies temporal patterns in historical data using advanced statistical models and TimeGPT pipelines.

Time Series Forecasting

Predicts future values and identifies temporal patterns by analyzing historical time series data within the Claude Code environment.