training-workflow
CommunityMaster model training end-to-end with splitting, validation, and serialization tools.
Authorhung-phan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill offers a comprehensive toolkit to address various challenges in model training, from data splitting to final deployment.
Core Features & Use Cases
- End-to-End Workflow: Guides users through cross-validation, hyperparameter tuning, and serialization for robust training.
- Splitting Strategies: Covers time series, stratified, group-based splitting techniques.
- Use Case: If you are starting a new ML project, use this skill to build a strong foundation from data preparation to evaluation.
Quick Start
Utilize the 'training-workflow' skill to understand best practices for your machine learning model training process.
Dependency Matrix
Required Modules
numpyscikit-learntorchtorchvisiontorchtexttensorflowpytorch-lightningoptunaray[tune]mlflowwandb
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: training-workflow Download link: https://github.com/hung-phan/ml-skills/archive/main.zip#training-workflow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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