Digging for Data ⛏️

clustering the situation of iran during corona virus , using k-means algorithm

In this project you will find the code to create a Python API using Flask. The goal, to create an API that serves as data of species in Spain, where to find them, when to find them and create a model to predict where we can find species that are not in our database.

webapp clustering using kmeans algorithm

Python implementation of K-Means Clustering algorithm for unsupervised learning. Efficiently groups data points into clusters based on similarity. Simple yet powerful tool for data exploration, segmentation, and pattern recognition tasks in various fields.

Unsupervised Learning: Stock Clustering

This project carried out in R applies PCA for dimensionality reduction and K-Means for clustering on the IRIS dataset. It includes EDA, PCA variance analysis, and cluster evaluation using ggplot2 and factoextra. Additionally, it visualizes the impact of reducing dimensions on clustering.

Udemy course recomendation engine

Malware analysis of files, detect the type of malware and check whether its a malware or not by using virus total.

Go K-Means Image Color Separation Dominant Color Finder written in Go

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

Applying Unsupervised learning Techniques

This repository consists of all the assignments i have done as a part of the neural networks lab which was a part of my curriculum.