####Project 3
Team members: Ao Liu al3472, Josh Dillon jmd2228, Jingwei Li jl4549, Yue Shen Gu yg2435, Yuan Zhao yz2885
[Summary] In this project, we developed a new method and improved the classification accuracy for images of cats and dogs to 71%
[Contribution Statement] All team members contributed to the GitHub repository and prepared the presentation. All team members approve our work presented in our GitHub repository including this contribution statement.
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In this project, we will carry out model evaluation and selection for predictive analytics on image data. As data scientists, we often need to evaluate different modeling/analysis strategies and decide what is the best. Such decisions need to be supported with sound evidence in the form of model assessment, validation and comparison. In addition, we also need to communicate our decision and supporting evidence clearly and convincingly in an accessible fashion.
Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.
proj/
├── lib/
├── data/
├── doc/
├── figs/
└── output/
Please see each subfolder for a README file.