Link to Github repository Chest x-ray image of normal lungsThis project involves building a deep neural network that trains on a large dataset for classification on a non-trivial task. In this case, the task is using x-ray images of patients to classify whether or not they have pneumonia. The Dataset The dataset originates from Kermany et al. on Mendeley. The particular subset used for this project is sourced via Kaggle.

Link to Github repository Objectives Create a classification model. Determine which features are best able to predict how often an online article will be shared. Data Set This dataset was acquired from the University of California, Irvine’s Center for Machine Learning and Intelligent Systems archive (https://archive.ics.uci.edu/ml/datasets/Online+News+Popularity#). Data references articles published by Mashable (www.mashable.com). Citation: K Fernandes, P Vinagre, P Cortez - Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015.

Link to Github repository Introduction This project focuses on using data concerning recently successful movie titles. The goal is analysis helpful to the launch of a new studio. Objectives This project explores the following questions and why: What are the recent top titles, by gross earnings? Which are the top performing studios? How fluid are their rankings What are the most frequently produced genres? …The biggest earning? What is the genre mix for top studios?