Detecting fake images using machine learning, involving feature extraction from real and AI-generated images, and implementing various classification models such as Random Forest, SVM, and Logistic Regression to accurately distinguish between real and fake images.

A New Clustering Method Using Evolutionary Algorithms for Determining Initial States, and Diverse Pairwise Distances for Clustering

Data mining clustering analysis task combining Gaussian mixture model and EM algorithm.

In this repository, you can find my work related to Machine Learning topics like Guassian Mixture Model, KNeighbors classification, Naive Bayesian classification etc..

USC DSCI 599 - Optimization Techniques for Data Science - Fall 2023 - Prof. Satish Thittamaranahalli Ka

Fundamentals of Biometric Systems Design Assignments

Implementing the Expectation-Maximization algorithm and applies Gaussian Mixture Models (GMM) to classify images.