dimensionality_reduction

Dimensionality Reduction

Description

Reduce feature space using PCA or t-SNE

When to Use

When dealing with high-dimensional data

Workflow

1. Scale data\n2. Choose method\n3. Transform\n4. Visualize

Tools Used

sklearn

Examples

from src.skills.data_science.dimensionality_reduction import Skill

skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))

Best Practices

Standardize features before PCA