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GitHub topics: k-means-clustering-sklearn

kshitizrohilla/mall-customer-segmentation-using-k-means-clustering-algorithm

This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.

Language: Jupyter Notebook - Size: 328 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

iSanoussi/Deep-Learning-TensorFlow

Directory for the Tenserflow certification preparation. Tools: Google colab, Python, Scikit-learn

Language: Jupyter Notebook - Size: 411 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ssabit/Artificial-Intelligent

Artificial Intelligent problem solving

Language: Python - Size: 61.5 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Related Keywords
k-means-clustering 3 k-means-clustering-sklearn 3 python 2 steepest-ascent 1 simulated-annealing 1 knn 1 a-star-search 1 sklearn 1 scikit-learn 1 machine-learning-algorithms 1 machine-learning 1 linear-regression 1 mall-customer-segmentation 1 k-means-clustering-segmentation 1 k-means-clustering-model 1 customer-segmentation-analysis 1 customer-segmentation 1 clustering-methods 1 clustering-algorithm 1 clustering 1 cluster 1