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training-machine-learning-models

6.4

by jeremylongshore

97Favorites
129Upvotes
0Downvotes

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.

model-training

6.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill provides a solid automated ML model training workflow with clear documentation and comprehensive supporting scripts (data preprocessing, training, evaluation, model persistence). The SKILL.md offers good conceptual coverage with concrete examples for classification and regression tasks. Structure is clean with appropriate separation of scripts. The description adequately conveys capabilities, though could be more explicit about parameter configuration options and which specific algorithms are supported. Task knowledge is strong given the referenced Python scripts for the complete pipeline. Novelty is moderate - while ML training automation is valuable, it's a common use case that agents with basic ML knowledge could handle, though this skill does reduce token overhead and provides standardization. Minor areas for improvement: more specific trigger phrases, clearer algorithm selection criteria, and explicit mention of cross-validation configuration options.

LLM Signals

Description coverage7
Task knowledge9
Structure8
Novelty6

GitHub Signals

1,046
135
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0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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