12 results for “topic:minibatchkmeans-clustering”
Customer Segmentation Using Unsupervised Machine Learning Algorithms
An implementation of hierarchical minibatch k-means.
Big Data Project - SSML - Spark Streaming for Machine Learning
No description provided.
Implement Customer segmentation using Python 3
This project involves building a clustering model that classifies wallets(users) into different clusters(group) based on their activity on the ronin chain.
A simple web app to find the best color combinations from a picture
Customer Segmentation Using Unsupervised Machine Learning Algorithms
Classification, clustering of a corpus of texts in scientific style for radar, gas dynamics, and scientometrics
Group fictional customers via clustering, using two sklearn algorithms (Birch and MiniBatchKMeans).
This repository contains a complete unsupervised learning pipeline for segmenting credit card customers. The notebooks guide the process from data preprocessing, to exploratory data analysis, to clustering model development using K‑Means and other algorithms.
Makine Öğrenimi ile Kredi Kartı Dolandırıcılık Tespiti