This project involves building a clustering model that classifies wallets(users) into different clusters(group) based on their activity on the ronin chain.
In this Project we have used Hierarchy Agglomerative clustering Method on google reviews data along with telco data set.
This app is clustering example. It has k-Means algorithm, DBSCAN algorithm, Agglomerative algorithm.
Unsupervised learning algorithms are used here. agglomerative algorithms and k-means clustering are used here.
The goal of this notebook was to introduce and perform clustering algorithms on white wine dataset.
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
Using K-means and Agglomerative clustering, the used vehicle data is segmented based on certain factors. Both quadratic and linear discrinant analysis as well as logistic regression is also carried out on the data.
NETFLIX MOVIES AND TV SHOWS CLUSTERING is a project that aims to cluster the available movies and TV shows on Netflix based on their attributes such as genre, release year, and country of production.
This project systematically processes images through feature extraction, dimensionality reduction, clustering, and evaluation to enable intelligent image categorization
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