xhan97/IKAHC

The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms (PRJ 2023)

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perseus784/Self-organizing-bots

A group of small robots capable of organizing themselves in any given structure using OpenCV and Clustering.

Language: Python - Size: 10.1 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 7

psaris/funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51

aryashah2k/Datalogy-Customer-Segmentation-Data-Science-Internship

A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.

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abinashsahoo007/Project-Song-Recommendation-System

This Project is a Simple Content-Based Song Recommendation System. It suggest similar item to the user based on the content the user provide.

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xhan97/StreaKHC

A novel incremental hierarchical clustering algorithm (KDD 22)

Language: Python - Size: 108 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

Akshay-Gulhane15/Hierarchical-Clustering-DBSCAN-KMeans

In this repository i have performed Hierarchical clustering on car clus dataset, DBSCAN on penguins datset, K-means clustering on mall customer dataset.

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Shahrukh2016/Netflix_Movies_and_TV_Shows_Clustering

Unlock personalized content recommendations on Netflix with my cutting-edge ML project. Say goodbye to aimless scrolling and elevate your binge-watching experience with our user-centric content-based recommender system.

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ShaikRiyazSandy/Clustering

Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters. Content This data set contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. Also given is the percent of the population living in urban areas

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ellelenlee/data-mining

data mining and machine learning coursework projects

Language: R - Size: 148 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

samudraneel05/stanford-open-policing

The Stanford Open Policing Project (SOPP) aims to bring transparency to police interactions by collecting and analyzing data on traffic stops across the United States. It accumulates a vast dataset on traffic stops, encompassing details such as demographics, location, and outcomes.

Language: Python - Size: 433 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

perseus784/Shape-Finder

A Shape Finder using Corner-Harris and Heirarchical Clustering

Language: Python - Size: 81.1 KB - Last synced at: 4 days ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 2

MohammedAhdal/Football-Analysis-and-Clustring

Streamlit App for The Analysis of team tactics and player performances

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MohammedAhdal/Football-Team-Player-Performances-Analysis

The analysis of team tactics and player performances using clustring modeling

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Prem-98/Clustering

different methods of clustering of data

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TasneemKapadia/Machine-Learning-Projects

Machine Learning Projects

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rehmanzafar/dlime_experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 24 - Forks: 15

venkatesh-eranti/clustering_cricket-data

Analyze the data of batting figures of batsmen in ODI matches by Choosing strike rate and average as the two factors on which clustering the data

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utribedi/patent_risk__analyzer

Litigation risk analyzer

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utribedi/Business-insights-Nike

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kailash-turimella/Clustering

Machine Learning Models using Python (Clustering)

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

pranaya-mathur/Clustering

Applied Clustering Techniques on Amazon Fine Food Reviews Data

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lavahammer/E-commerce-Seller-Acquisition-identification

To sanitize and analyze the data to profile the sellers present and develop selection criteria to identify the best or most promising sellers in this dataset, that the Acquisitions team at any company should reach out to, and acquire. The model used Kmeans clustering and Heirarchical clustering to identify sellers targets for acquisition.

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gauravsharma884/MACHINE-LEARNING-USING-PYTHON

This repository contains all the projects carried out to understand and experiment on Machine Learning using Python. Projects scripts are created to build model on classification , clustering and regression machine learning models for future predictions.

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Adevfrombirmingham/BigData

Big Data Project- Catch the pink flamingo

Language: Python - Size: 551 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

SarCode/ML-Code-Tutorials-Udemy

Complete Tutorial Guide with Code for learning ML

Language: Python - Size: 3.86 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

NAVEENDATAANALYST/CUSTOMER-ANALYTICS-ON-USA-BASED-COMPANY-DATA

This is my 6th semester Essentials of Data Analytics project.

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blitzapurv/customer-segmentation-kmeans-hc-dbscan-gmm

Customer Segmentation using kmeans, hc, dbscan and gmm

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Gandhasiri-Rahul-Mohan/Principal-component-analysis

Perform Principal component analysis and perform clustering using first 3 principal component scores

Language: Python - Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Pranavi1990/Clustering

To study the customer profile coming to a mall. We try to solve this problem using Clustering technique.

Language: R - Size: 139 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

PatilSukanya/Assignment-07-Clustering-Q1-Airline-

Used libraries and functions as follows:

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manasik29/Clustering-for-the-crime-data-and-identify-the-number-of-clusters

Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.

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manasik29/Clustering-for-the-airlines-data-to-obtain-optimum-number-of-clusters

Perform clustering (hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters.

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vassef/Renowned-clustering-methods-from-scratch-and-Semi-supervised-Learning-and-basic-statistics

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emaynard10/Cryptocurrencies

Unsupervised machine learning to preform principal component analysis, and use clustering to determine trends in different crytocurrencies.

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kumarpython/Machine-Learning

Machine Learning with Python, Numpy & SciKitLearn

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ANIRUDH-VADERA/ML

Important Ml Codes and Concepts(Sorted)

Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

chllrisll/Cryptocurrencies

Compare ML models K-means algorithm vs hierarchal-clustering in crypto

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vijayraghavans/CustomerSegmentation

Customer Personality Analysis using Unupervise Learning Algorithms like Kmeans and Heirarchical Clustering and finding the best model based on analysis

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kibamin/FuzzyConstraintClustering

Language: Python - Size: 223 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Manu-Gr/Heirarchical-Clustering---Assignment---Airlines-Dataset

Perform clustering (Hierarchical) for the airlines data to obtain optimum number of clusters

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thisishardik/forum-posts-clustering

This project incorporates Hierarchical document clustering of the Kaggle forum posts using data from Meta Kaggle. Includes fine-tuned vectors using GoogleNews embeddings.

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cordero-c-perez/Machine-Learning

This repository houses small projects (R and Python) exploring Machine Learning methods and algorithm description & implementation. Larger ML projects are housed in the Projects Repo.

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teomotun/Enron-Scandal-Machine-Learning

Application of Machine learning to show acts of conspiracy, insider trading, and securities fraud in Enron dataset

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Jash-tech/Hirararchical-Clustering

A simple usage of Hierarchical Clustering algorithm to make sense out of World Bank data.

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geekpirate/FB-Covid-Long-Hauler

This repo contains code on study of a covid long-hauler group

Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

purvit-vashishtha/Clustering

Code for implementing KMeans and Hierarchical Clustering.

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MihirBindal/Customer-classification-using-unsupervised-learning

This model uses unsupervised learning to classify customers based on their spending score

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friskycodeur/clustering

Explored data about customers of a mall using the k-means and hierarchical clustering.

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kaustubhmulay/YorkU-los-angeles-traffic-collision-data

An analysis of the Traffic Collision Data from the city of Los Angeles

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kaustubhmulay/YorkU-customer-segment-analysis Fork of deenuy/YorkU-customer-segment-analysis

Repository for Customer Segment Analysis using Python & Shiny App Dashboard

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uniquevineet/unsupervised_learning

Applying unsupervised learning algoriths on online shoppers intention data and model building

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paveethrans/Customer-SpendingScore-Segmentation

In this project, I apply an unsupervised - clustering algorithm to segregate(cluster) customers based on factors such as his/her Spending score in a mall, Frequency of visiting the mall etc.

Language: Python - Size: 101 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0