AmirMotefaker/Customer-Segmentation-using-R

Customer Segmentation using R

Language: R - Size: 6.72 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 1 - Forks: 0

KlimentLagrangiewicz/k-means-in-Zig

An implementation of k-means algorithm in Zig

Language: Zig - Size: 8.79 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

rahulrajan15/Alteryx_DA_Project

Using Alteryx, analyze customer data to forecast future issues, support business growth, address challenges, and provide tailored solutions.

Size: 4.76 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

nssharmaofficial/K-Means-Parallel-Computing

K-Means algorithm parallelized in CUDA

Language: Cuda - Size: 23.3 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 5 - Forks: 0

ialexmp/Machine-Learning

This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.

Language: Jupyter Notebook - Size: 75.3 MB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 1

Abir0810/COVID-19-unsupervised-learning

Unsupervised learning algorithms are used here. agglomerative algorithms and k-means clustering are used here.

Language: Python - Size: 1.95 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Cluster-Team/Cluster-Visualizer

Cluster Visualization Tool

Language: C# - Size: 21.2 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

KhaledAshrafH/K-Means-Clustering

This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.

Language: C - Size: 55.7 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

aibysalman/CustomerSegmentationViaK-means

In this Python notebook, we explore how K-Means can be used for customer segmentation to gain a competitive advantage and improve a business's bottom line.

Language: Jupyter Notebook - Size: 370 KB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

stefonalfaro/AI-as-a-Service

An API for managing chat completions, fine-tuning, payments, plans, and configurations.

Language: C# - Size: 16 MB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 3 - Forks: 1

Mohansharmila/Office-furniture-analysis-using-Rstudio

In this two cluster approaches are used: hierarchical clustering and K-means clustering. It is unsupervised learning technique for grouping related data points which shows same behaviour in the dataset regardless of the outcome.

Language: HTML - Size: 625 KB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

binhvu3/Salmon-Analysis

Predict Alaska's Salmon population using various Machine Learning models

Language: Jupyter Notebook - Size: 13.7 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

SNAILGROUP-AI/STUDY-ML

머신러닝 알고리즘 학습 내용 정리

Size: 85.9 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

mohkharma/k-means-algorithm

The K -Means algorithm implementation from scratch in Python based on Euclidean distance

Language: Python - Size: 3.82 MB - Last synced: 12 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

cocsx/img-segmentation

Language: C++ - Size: 6.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

KWASSI09/unsupervised-machine_learning

Language: Jupyter Notebook - Size: 302 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

munno88/Cryptocurrencies

An analysis using unsupervised Machine Learning algorithm to discover unknown patterns

Language: Jupyter Notebook - Size: 3.79 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

red-dragon65/QtMovieSearch

A movie recommendation engine built with python and a Qt GUI.

Language: Python - Size: 609 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

deepanshu-Raj/K-Means-Agorithm-Implementation

This repo contains the Implementation of K-Means Clustering Algorithm from scratch and an Image Segmentation Project, implemented using the same algorithm.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 2 - Forks: 1

exTerEX/kmeans

A C implementation of K-Means clustering algorithm with Python bindings

Language: Python - Size: 130 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

shourya-gupta/Parallel-K-Means-Algorithm

Parallel-K-Means-Algorithm

Language: Jupyter Notebook - Size: 3.01 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

kkeyan931/Machine-Learning

This Repo contains various Machine learning Algorithm including Linear regression, Logistic regression, Neural Networks, SVM, Clustering algorithms, K-means Algorithm, Anomaly detection, and Recommander system etc...

Language: MATLAB - Size: 36.1 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0