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.

高斯混合模型和EM算法结合的数据挖掘聚类分析任务

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

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

Fundamentals of Biometric Systems Design Assignments

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