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9-Spring2020/Projects_StarterCodes/Project3-FacialEmotionRecognition/doc/project3_desc.md

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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 by 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.
 
 #### Challenge
-For this project, you will receive [a set of 2,500 facial images with 22 different emotions](https://drive.google.com/open?id=1K6KCo5fM-XfWbMamVQNuCSPUTBUuJ8nR)[require logged into Columbia LionMail in your browser]. Here is an alternative [data link](https://www.dropbox.com/s/kvi949ea1rey1d8/train_set.zip?dl=0). These two links lead to **identical** data. 
+For this project, you will receive a set of 2,500 facial images with 22 different emotions. These two links lead to **identical** data. 
 
 Your client is interested in creating an mobile AI program that **accurately recognizes the emotion from facial images**.