A Python package for unsupervised mixed datatypes clustering

In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.

My master thesis – It is about clustering of product data as provided by typical product information management systems.

Predictive Modeling and Clustering Insights for Kickstarter Success

Developed a Customer Segmentation for a fictional insurance company by using, in one case, the combination of the K-means algorithm and the hierarchical clustering and in the other one K-Prototypes. Final clusters achieved crossing the results from both segmentations.

Teaching Clusteranalysis with generated Marathon-Shopper-Data

Data-Driven Strategies for Insurance Fraud Prevention and Vehicle Risk Assessment

Deploying clustering machine learning algorithms to segment survey respondents

Discover different segments of sessions which differ from each other by their navigational patterns before adding a product to the baskets. You are free to differentiate your segments based on category id or domain name of the products, if you feel necessary.Dimension reduction is also applied.

A clustering ML project that performs a customer segmentation on a 2000-record dataset of various customers with different characteristics.