Skip to content

Instantly share code, notes, and snippets.

@xtrmstep

xtrmstep/normalization-techniques.md

Last active December 28, 2024 17:21
Show Gist options
  • Save xtrmstep/54a27fe1e350eda4d5e9412fd662e0e0 to your computer and use it in GitHub Desktop.
Save xtrmstep/54a27fe1e350eda4d5e9412fd662e0e0 to your computer and use it in GitHub Desktop.
Download ZIP
for article "Data Series Normalization Techniques" at Medium
Raw
normalization-techniques.md
Technique Purpose
Z-Score Centers data to mean = 0, std dev = 1; for Gaussian data or regression-based models.
Min-Max Scales data to a specific range (e.g., [0, 1]); for bounded input in neural networks.
Log Transformation Compresses large values and reduces skewness; for data with exponential growth patterns.
Robust Scaling Rescales using median and IQR; for datasets with many outliers.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment