GitHub topics: minibatchkmeans-clustering
tracyreuter/customer-segmentation
Group fictional customers via clustering, using two sklearn algorithms (Birch and MiniBatchKMeans).
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alifrmf/Customer-Segmentation-Using-Clustering-Algorithms
Customer Segmentation Using Unsupervised Machine Learning Algorithms
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ammesatyajit/hierarchical-minibatch-kmeans
An implementation of hierarchical minibatch k-means.
Language: Python - Size: 2.5 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

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).
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 2

karolus-git/color-match
A simple web app to find the best color combinations from a picture
Language: Python - Size: 1.77 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Farjp/MAPDmod.B Fork of W-Mrt/Mini-batch-k-Means-Clustering
Final project for Management & Analysis of Physics Dataset (MOD. B) 2021-2022
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swarna0712/San-Fransisco-Crime-Classification-using-PySpark
Big Data Project - SSML - Spark Streaming for Machine Learning
Language: Python - Size: 21.5 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
