This project explores the application of image classification and clustering techniques using R. The dataset includes various images categorized by their attributes. We employ Artificial Neural Networks (ANN) to classify images based on their features and assess model performance through accuracy metrics.

This dataset contains the detailed information about the road network in North Jutland, Denmark including logitude, latitude and altitude for road segmentation.

This analysis focuses on predicting survival outcomes for patients from the Haberman Survival dataset using Artificial Neural Networks (ANN). The dataset contains information about patients who had undergone breast cancer surgery, with features including Age, Year, and Node, and the target variable survival_status indicating whether the patient survived 5 years or more after surgery.