Deep Learning Regression with Admissions Data

I couldn’t find this project under the Challenge Project section, so I’ll post my solution to the Deep Learning Regression with Admissions Data project here.

You can find my script on GitHub: GitHub - F-ARobert/Admission_data_regression: My first semi-autonomous Deep Learning project

Since the dataset was quite small (500 entries) I opted for a k-fold cross-validation to validate the model. What this does is
seperate the data into equal parts (5 in my case). Trainning takes place on on four of those parts and the last part is used for validation. This step is repeated fives times, each time using a different segment as validation data. The final model represents the average of each individual trainning rounds.

All model parameters are described in the repository’s Readme file.

Let me know what you think!