Skip to content
#

creating-customer-segments

Star

Here are 5 public repositories matching this topic...

Language: All
Filter by language
All 5 Jupyter Notebook 3 HTML 2

robertyoung2 / Creating-Customer-Segments

Star 0

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, checked predictions against the result of unsupervised analysis.

data-science machine-learning udacity nanodegree creating-customer-segments unsupervised-machine-learning
  • Updated Jan 8, 2018
  • HTML

gouravaich / creating-customer-segments

Star 0

Apply unsupervised machine learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data

machine-learning udacity clustering machine-learning-algorithms pca dimensionality-reduction outlier-detection k-means unsupervised-learning gmm udacity-nanodegree unsupervised-learning-algorithms clustering-algorithm creating-customer-segments feature-scaling feature-transformation biplot outlier-removal udacity-machine-learning-nanodegree
  • Updated Jul 26, 2018
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the creating-customer-segments 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 creating-customer-segments topic, visit your repo's landing page and select "manage topics."

Learn more