training-machine-learning-models
Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to "train model" or "evalua... Trigger with relevant phrases based on skill purpose.
npx skills add majiayu000/claude-skill-registry --skill training-machine-learning-models --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ml Model Trainer This skill provides automated assistance for ml model trainer tasks. ## Overview This skill empowers Claude to automatically train and evaluate machine learning models. It streamlines the model development process by handling data analysis, model selection, training, and evaluation, ultimately providing a persisted model artifact. ## How It Works 1. **Data Analysis and Preparation**: The skill analyzes the provided dataset and identifies the target variable, determining the appropriate model type (classification, regression, etc.). 2. **Model Selection and Training**: Based on the data analysis, the skill selects a suitable machine learning model and configures the training parameters. It then trains the model using cross-validation techniques. 3. **Performance Evaluation and Persistence**: After training, the skill generates performance metrics to evaluate the model's effectiveness. Finally, it saves the trained model artifact for future use. ## When to Use This Skill This skill activates when you need to: - Train a machine learning model on a given dataset. - Evaluate the performance of a machine learning model. - Automate the machine learning model training pr
- Overview
- How It Works
- When to Use This Skill
- Examples
- Example 1: Training a Classification Model
- Example 2: Training a Regression Model
- Best Practices
- Integration
- Prerequisites
- Instructions
- Output
- Error Handling
- Resources
What does the training-machine-learning-models skill do?
Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to "train model" or "evalua... Trigger with relevant phrases based on skill purpose.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill training-machine-learning-models --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.