Skip to content
#

minmaxscaling

Here are 27 public repositories matching this topic...

Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing

  • Updated Aug 25, 2023
  • Jupyter Notebook

This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

  • Updated Jul 2, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the minmaxscaling topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the minmaxscaling topic, visit your repo's landing page and select "manage topics."

Learn more