alifrmf/Customer-Segmentation-Using-Clustering-Algorithms

Customer Segmentation Using Unsupervised Machine Learning Algorithms

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shanuhalli/Assignment-Clustering

Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.

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YoussefAboelwafa/Unsupervised-ML

Unsupervised Machine Learning Models

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MarahGamdou/Clustering-Platform

The objective of this project is to facilitate the use of clustering algorithms by engineering students who are not specialized in AI.

Language: Python - Size: 2.37 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Neel7317/Machine_learning-Unsupervised-

Unsupervised learning with different types clustering algorithms..

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i2a-k/Machine-Learning-and-Pattern-Recognition

Implementation of some classification and clustering methods

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muhammadadilnaeem/Customer-Segmentation-Unsupervised-Learning

This project explores customer segmentation using various clustering techniques on a dataset of mall customers. The goal is to identify distinct customer groups based on demographic and behavioral attributes, enabling businesses to tailor their marketing strategies more effectively.

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adelelwan24/Credit-Card-Customer-Segmentation

This repository implements customer segmentation techniques to analyze credit card user behavior and identify distinct customer groups. By leveraging Python libraries like pandas, Scipy and scikit-learn.

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amirR01/Modern-Information-Retrieval

Modern Information Retrieval Project

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sumedha3/Similar_Plot_Summaries

The project involved natural language processing (NLP) techniques, tokenization, stemming, and the application of the TF-IDF vectorization method.

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032AbhishekChoksi/Machine-Learning-Exercises-with-Datasets

Machine Learning Algorithms Practicals in Python with Datasets

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ErSangram/capstone_04_Zomato_Restaurant_Clustering_And_Analysis

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akeelrashid/Netflix_Movies_TV_Show_Clustering

This project explores Netflix's content evolution, analyzes TV shows and movies, and builds a recommendation system. Discover insights from a dataset of 7,787 titles as of 2019 and learn how we clustered content based on textual features.

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ramahasiba/Clustering_Analysis Fork of mawada-sweis/Clustering-Analysis

Clustering Analysis is used to analyze the travel behaviors, preferences, and attitudes of New York City citizens.

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WSpie/Time_series_clustering

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shanuhalli/Assignment-PCA

Perform Principal component analysis and perform clustering using first 3 principal component scores both Heirarchial and K Means Clustering and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data.

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emanattia/Credit_Card_Data_Clustering

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