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Clustering Algorithms and their Application to Facial Image Analysis
This project focuses on network anomaly detection due to the exponential growth of network traffic and the rise of various anomalies such as cyber attacks, network failures, and hardware malfunctions. This project implement clustering algorithms from scratch, including K-means, Spectral Clustering, Hierarchical Clustering, and DBSCAN
Database Introspection Tool - Open-Source | AppSeed
A Python-powered ML toolkit featuring a Decision Tree builder and Naive Bayes classifier implemented from scratch. Supports attribute selection using Entropy (ID3) and Gini Index (CART), with custom metric calculations, recursive tree construction, and Graphviz-based visualization for decision boundaries and probabilistic classification.
This repository contains introductory notebook for clustering techniques like k-means, hierarchical and DB SCAN
Unsupervised clustering of a retail store's customer database to perform Customer Segmentation and Profiling.
This notebook with contain my work for the capstone project for IBM Data Science Specialization certificate.
Implemented density-based scan clustering Machine Learning model for human brain parcellation and detected over 60 clusters in each brain hemisphere. The model was developed using Matlab.
Project 5 OPENCLASSROOMS: Customer Segmentation
An investigation into pitch type prediction
SmartCargo is a web application designed to provide support for the Port of Valencia. Developed as part of the coursework for Software Engineering and Software Project Management at the University of Salerno.
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