ml-fundamentals
CommunityMaster ML foundations to ship reliable models.
Data & Analytics#preprocessing#pipelines#reproducibility#ml#model-evaluation#machine-learning#feature-engineering
Authorpluginagentmarketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ML novices and teams often struggle to transform raw datasets into robust, evaluable models without a structured workflow. This skill provides a clear, reproducible path from data preprocessing to model assessment, enabling faster iteration and higher quality outcomes.
Core Features & Use Cases
- Data preprocessing, feature engineering, and scalable pipelines for common ML tasks.
- Integrated model evaluation and cross-validation patterns to ensure reliable performance insights.
- Real-world scenario: rapidly prototype an end-to-end ML project from data prep to a validated model deployment readiness.
Quick Start
Install the skill, prepare a dataset, and run the included pipeline to train and evaluate a model on your data.
Dependency Matrix
Required Modules
yaml
Components
scriptsreferencesassets
💻 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: ml-fundamentals Download link: https://github.com/pluginagentmarketplace/custom-plugin-machine-learning/archive/main.zip#ml-fundamentals Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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