Kmeans and kmodes implementation in Python

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

A Python package for unsupervised mixed datatypes clustering

K Modes Clustering of Customer Data in Health Insurance

Machine learning and NLP-based prototype for clustering student behavioral and perceptual patterns in blended learning and generating personalized recommendation reports.

Analyze telecom customer churn patterns using SQL, Python, and Streamlit to identify retention drivers and improve business decision-making.

Medical data clustering: K-Prototypes, elbow method, silhouette analysis, pairwise statistical tests, automated Word reporting. pandas, scikit-learn, kmodes.

K-Prototype Clustering on Blood Transfusion Dataset

Data Analysis Project

K Clustering algorithms implemented in Rust Programming Language

This recommendation system made for UK-based company uses data from job platform similar to LinkedIn. KModes Clustering for multiple categorical variables is used to group and return similar candidates.

👉 Click here to see some of my personal projects 👈

The python files I used to cluster my data and present it.

Cobalt Strike beacon metadata analysis using K-Modes clustering for defensive threat detection research.

Gym Exercise Recommendation App

Python implementations for efficient SARS-CoV-2 spike protein sequences clustering by variant.

Este projeto aplica técnicas de clusterização para identificar padrões nos custos de seguros de saúde com base em dados demográficos e comportamentais. Utilizando o algoritmo K-Prototypes, conseguimos agrupar indivíduos levando em consideração variáveis numéricas e categóricas.

Capstone Project: customer acquisition through segmentation and classification for Arvato Financial Solutions

Clustering on Countries Dataset

S1