Customer Segmentation Using Unsupervised Machine Learning Algorithms
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Updated
Jul 10, 2023 - Jupyter Notebook
Customer Segmentation Using Unsupervised Machine Learning Algorithms
An implementation of hierarchical minibatch k-means.
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).
Big Data Project - SSML - Spark Streaming for Machine Learning
Implement Customer segmentation using Python 3
[Data Analysis] Project in 2022 - Selection of additional areas for elementry care facilities, Used 8 Clustering methods
A simple web app to find the best color combinations from a picture
Group fictional customers via clustering, using two sklearn algorithms (Birch and MiniBatchKMeans).
Final project for Management & Analysis of Physics Dataset (MOD. B) 2021-2022
Makine Öğrenimi ile Kredi Kartı Dolandırıcılık Tespiti
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