Topic: "kmeansclustering"
zain-ul-abaidin/Digital-Image-Processing
This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions
Language: Python - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 5
MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project
Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)
Language: Jupyter Notebook - Size: 15 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
ParthDS02/Mall-Customer-Segmentation-using-K-Means-Clustering
Analyzing customer behavior using Unsupervised Learning to segment shoppers based on Annual Income, Spending Score & Age. Insights help businesses optimize marketing & retention strategies.
Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
steveee27/Employee-Mental-Health-Clustering-Analysis
This project analyzes employee mental health in the tech industry using clustering. The dataset includes demographics and work-related factors. K-Means clustering segments the data into two clusters, revealing patterns and offering recommendations for better mental health support in the workplace.
Language: Jupyter Notebook - Size: 843 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
MariahFerns/Employee-Turnover-Prediction
Using k-fold cross validation to find the best classification model to predict employee attrition.
Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
eliazonta/K-Means
K-Means clustering algorithm implementation with OpenMP
Language: C++ - Size: 370 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lxaw/kmeansclustering-cpp
Let's get those centroids!
Language: C++ - Size: 339 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AnuragSChatterjee/CodeAcademy-Machine-Learning-In-Python-Project-Handwriting-Recognition-Using-K-Means-Clustering
The U.S. Postal Service has been using machine learning and scanning technologies since 1999. Because its postal offices have to look at roughly half a billion pieces of mail every day, they have done extensive research and developed very efficient algorithms for reading and understanding addresses. And not only the post office, ATMs can recognize handwritten bank checks. Evernote can recognize handwritten task lists and Expensify can recognize handwritten receipts. In this project, I used K-means clustering (the algorithm behind this magic) and scikit-learn to cluster images of handwritten digits
Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
AnuragSChatterjee/CodeAcademy-Machine-Learning-In-Python-Project-Breast-Cancer-Classifier
In this project, I have used several Python libraries to make a K-Nearest Neighbor classifier that is trained to predict whether a patient has breast cancer or not in general
Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
mesc08/Machine-Learning-Algorithms
All machine Learning algorithms practiced in detail using python with there datasets.
Language: Jupyter Notebook - Size: 8.85 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
