-
Updated
Jul 27, 2018 - R
#
kclustering
Here are 4 public repositories matching this topic...
ML Engineering, AI & Data Science: student at Lambda School. Prev B2C Growth & Storytelling via Motion Picture & Still Photography
python flask data-science machine-learning natural-language-processing sql tensorflow numpy linear-regression scikit-learn keras pandas data-analysis predictive-analytics plotly-dash kclustering fastapi
-
Updated
Mar 12, 2026
This repository provides a Python implementation of K-Means clustering for segmenting retail store customers based on their purchase behavior. The algorithm groups customers into clusters using features such as Annual Income and Spending Score, enabling data-driven decision-making for marketing strategies.
-
Updated
Dec 26, 2024 - Jupyter Notebook
Prediction of optimal number of clusters of the given iris data and it's visualisation.
-
Updated
Jul 17, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the kclustering topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the kclustering topic, visit your repo's landing page and select "manage topics."