This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

Unlock the potential of agricultural production with innovative optimization techniques. Explore strategies, technologies, and practices to enhance crop yields, improve efficiency, and sustainably increase output. Revolutionize farming practices and cultivate a thriving agricultural ecosystem

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 recogni…

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.

This project uses K-means clustering to group countries based on socio-economic and health factors such as child mortality, exports, health spending, income, and GDP per capita. The workflow includes data preprocessing, clustering, and performance evaluation using silhouette scores.

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

Using k-fold cross validation to find the best classification model to predict employee attrition.

K-Means clustering algorithm implementation with OpenMP

Let's get those centroids!