Popular GitHub Repositories for Comparitive Study

This repo explores KMeans and Agglomerative Clustering effectiveness in simplifying large datasets for ML. Goals include dataset download, finding optimal clusters via Elbow and Silhouette methods, comparing clustering techniques, validating optimal clusters, tuning hyperparameters. Detailed explanations and analysis are provided.

XAI LIME-based image classifier or SHAP unified framework is utilised to interpret the output of different types of models, such as neural networks, decision trees, and linear models, is to FGSM adversarial assaults and evaluate the effect on the predictability of the model.