[your-lastnames]_phaseX_slides.[ext] where X is I or II depending on whether the slides are for phase I or phase II of the project.This file should be either a PDF file (ext=pdf) or a PowerPoint file (ext=pptx). Please use only lower case letters in the filename. List the lastnames in alphabetical order separated by "_". For instance, the file with my phase I slides with teammate Bayes would be named bayes_ruiz_phaseI_slides.pptx
Extra credit will be given to particularly creative and/or high quality work, and/or for independently researching the machine learning topic chosen in great depth.
Phase I: 10% of the Project grade (i.e., 2% of your course grade). Phase II written report: 80% of Project grade (i.e., 16% of your course grade). Phase II presentation: 10% of Project grade (i.e., 2% of your course grade). Class participation during presentations: additional points.
Your project for this class MUST be different from projects that you need to work on or have worked on for other classes (e.g., AI, Data Mining, Deep Learning, Big Data Analytics, ISP, ISG, ...).
Your project MUST use only techniques covered in this class this semester.
Investigate this topic using sources from the scientific literature and other textbooks.