ml-pipeline

What problem does it solve?

This Skill helps you design, implement, and reproduce machine learning pipelines combining preprocessing, modeling, and evaluation in a coherent workflow.

Core Features & Use Cases

• Pipeline Design: Build scikit-learn Pipelines with preprocessing and models.
• Column Transformers: Handle numeric and categorical features cleanly.
• Custom Transformers & Feature Engineering: Extend pipelines with domain-specific logic.
• Complete Pipeline: End-to-end steps from raw data to model predictions.

Quick Start

Create a simple Pipeline with a StandardScaler and RandomForestClassifier, then fit on training data and predict on test data.