gulabpatel/Table_Detection

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exelero565/DS_Project_6

create models customer clustering by solvency

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AsmaeKarmouchi/Project_ECG_Classification

Classification des battements cardiaques

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vaibhavdangar09/Online_Retail_Customer_Segmentation

The main objective of this project is to group customers with similar behavior and characteristics into segments to better understand their needs and preferences. The unsupervised machine learning techniques used in this project include K-means clustering ,hierarchical clustering and DBScan Clustering.

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srjchsv/Unlocking-Customer-Insights

Performed analysis and customer segmentation of banking clients.

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sakshibabbar2019/Applying-Evaluating-Clustering-algorithms

This is a small tutorial project that demonstrates application and evaluation methods of popular clustering algorithms namely, K-means, DBSCAN and Agglomerative.

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