Python implementations for efficient SARS-CoV-2 spike protein sequences clustering by variant.
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Updated
Oct 30, 2024 - Python
Python implementations for efficient SARS-CoV-2 spike protein sequences clustering by variant.
Gym Exercise Recommendation App
Data Analysis Project
Submission for application @portsmouthuni
👉 Click here to see some of my personal projects 👈
Get kmodes clusters from an excel sheet with data and visualize them as nested donut plots.
Capstone Project: customer acquisition through segmentation and classification for Arvato Financial Solutions
Clustering on Countries Dataset
K-Prototype Clustering on Blood Transfusion Dataset
K-Mode Clustering on Bank Marketing Dataset
A Python package for unsupervised mixed datatypes clustering
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.
The python files I used to cluster my data and present it.
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.
K Modes Clustering of Customer Data in Health Insurance
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