minibatchkmeans-clustering
There are 10 repositories under minibatchkmeans-clustering topic.
alifrmf/Customer-Segmentation-Using-Clustering-Algorithms
Customer Segmentation Using Unsupervised Machine Learning Algorithms
ammesatyajit/hierarchical-minibatch-kmeans
An implementation of hierarchical minibatch k-means.
abishek-as/Netflix-Movie-Recommendation
This repository is for Netflix movie recommendations using various content and collaborative-based methods like Word2vec, Node2vec, Sentence Transformer, MiniBatchKMeans, Cosine Similarity, Pearson's Correlation, and Singular Value Decomposition (SVD).
swarna0712/San-Fransisco-Crime-Classification-using-PySpark
Big Data Project - SSML - Spark Streaming for Machine Learning
Ansu-John/Customer-Segmentation
Implement Customer segmentation using Python 3
carrytheeast/Project_elementry_care_facilities
[Data Analysis] Project in 2022 - Selection of additional areas for elementry care facilities, Used 8 Clustering methods
jafarpof/MAPDmod.B
Final project for Management & Analysis of Physics Dataset (MOD. B) 2021-2022
karolus-git/color-match
A simple web app to find the best color combinations from a picture
ozerzeynep/credit-card-fraud-detection
Makine Öğrenimi ile Kredi Kartı Dolandırıcılık Tespiti
tracyreuter/customer-segmentation
Group fictional customers via clustering, using two sklearn algorithms (Birch and MiniBatchKMeans).