This analysis explores the Haberman dataset, which contains data from patients who have undergone surgery for breast cancer. We will perform Exploratory Data Analysis (EDA) and construct a neural network model to predict survival status.

This document outlines the process of classifying images of animals, plants, and fruits using logistic regression, clustering, and neural networks. This consist of 2 dataset with 595 images and 7603 images with each containing animals/plants/fruits