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alifrmf / Customer-Segmentation-Using-Clustering-Algorithms

Customer Segmentation Using Unsupervised Machine Learning Algorithms

python data-science data clustering exploratory-data-analysis machine-learning-algorithms feature-selection unsupervised-learning kmeans-clustering dbscan-clustering agglomerative-clustering feature-importance customer-segmentation cleaning-data hyperparameter-selection outlier-analysis hirarchical-clustering minibatchkmeans-clustering gaussian-mixture-clustering

Updated Jul 10, 2023
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YoussefAboelwafa / Unsupervised-ML

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Unsupervised Machine Learning Models

pca unsupervised-learning kmeans-clustering hirarchical-clustering

Updated Oct 30, 2023
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shanuhalli / Assignment-Clustering

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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.

clustering exploratory-data-analysis dimensionality-reduction data-preprocessing dbscan-clustering dendogram k-means-clustering elbow-method min-max-scaler silhouette-score hirarchical-clustering standard-scaler assignment-07

Updated Dec 28, 2022
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MarahGamdou / Clustering-Platform

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

clustering-algorithm kmeans-clustering dbscan-clustering explainable-artificial-intelligence hirarchical-clustering knn-clustering

Updated Oct 7, 2022
Python

vigneshprakash1997 / Seed-Dataset-Classification-and-Clustering-

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The examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian.

machine-learning analytics analysis clustering classification kmeans-clustering agglomerative-clustering hirarchical-clustering

Updated Oct 23, 2020
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RajKrishna2123 / Rock_Segmentation

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Land slide prediction :- the classification of individual rocks into three categories: big, medium, and small. Additionally, the project aims to predict the falling pattern of these rocks by analyzing the provided images of the rock dump.

simulation scikit-learn statistical-analysis semantic-segmentation holistically-nested-edge-detection hirarchical-clustering

Updated Aug 16, 2023
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RohitBhandare / machine-learning-practicals

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python linear-regression support-vector-machine svm-model knn-classification kmeans-clustering-algorithm dbscan-clustering-algorithm hirarchical-clustering

Updated Nov 6, 2023
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Neel7317 / Machine_learning-Unsupervised-

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Unsupervised learning with different types clustering algorithms..

clustering-algorithm dbscan-clustering k-means-clustering gmm-clustering silhouette-score hirarchical-clustering

Updated May 5, 2022
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i2a-k / Machine-Learning-and-Pattern-Recognition

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Implementation of some classification and clustering methods

machine-learning clustering svm pca classification pattern-recognition k-means support-vector-machines knn principal-component-analysis iris-dataset k-nearest-neighbors bayesian-decision-theory roc-plot breast-cancer-dataset k-fold-cross-validation conditional-risk minimum-mean-distance hirarchical-clustering

Updated Aug 2, 2020
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rafiddeshmukh / Netflix_Movies_and_TV_Shows_Clustering

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This dataset consists of tv shows and movies available on Netflix as of 2019. Clustering Movies and TV shows

machine-learning clustering text exploratory-data-analysis pca-analysis dimensionality-reduction k-means unsupervised-learning dbscan-clustering hirarchical-clustering

Updated Jun 22, 2023
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akeelrashid / Netflix_Movies_TV_Show_Clustering

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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.

data-science machine-learning clustering exploratory-data-analysis pca-analysis recommender-system cosine-similarity vectorization unsupervised-learning kmeans-clustering datavisualization content-based-recommendation elbow-method dataanalytics tfidf-vectorizer silhouette-score hirarchical-clustering

Updated Sep 3, 2023
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ErSangram / capstone_04_Zomato_Restaurant_Clustering_And_Analysis

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python machine-learning clustering kmeans colab-notebook hirarchical-clustering

Updated Sep 7, 2023
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muhammadadilnaeem / Customer-Segmentation-Unsupervised-Learning

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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.

kmeans-clustering unsupervised-machine-learning customer-segmentation dbscan-clustering-algorithm hirarchical-clustering

Updated Jul 11, 2024
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emanattia / Credit_Card_Data_Clustering

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pca dbscan-clustering k-means-clustering gaussianmixturemodel hirarchical-clustering

Updated May 28, 2022
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ramahasiba / Clustering_Analysis

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

python dimensionality-reduction cluster-analysis k-medoids dbscan-clustering k-means-clustering hirarchical-clustering

Updated Mar 7, 2023
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adelelwan24 / Credit-Card-Customer-Segmentation

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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.

python pca kmeans tsne dbscan agglomerative-clustering kernel-pca hirarchical-clustering gaussian-mixture-clustering

Updated Apr 18, 2024
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lokesh97jain / Crime-Analysis-and-Market-Segmentation-Using-Hierarchical-Clustering

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Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.