Machine Learning - Final Project [S2023]
Contributions from:
Jackson Shelby
Josh Scherer
Michelle Wang
Alex Zhang
Alzheimers-Classification (this repository)
+-- project-checkpoint
| +-- Neural_Network_Guided_Practice.ipynb
| +-- Images_For_Checkpoint
| | +-- table_queries
+-- model
...
data (Not inside this repository)
+-- AugmentedAlzheimerDataset
| +-- MildDemented
| +-- ModerateDemented
| +-- NonDemented
| +-- VeryMildDemented
+-- OriginalDataset
| +-- MildDemented
| +-- ModerateDemented
| +-- NonDemented
| +-- VeryMildDemented
pickles (Also not inside this repository)
- We did not include the data directory inside of the repository to avoid file size issues with GitHub
- Services such as AWS may be used to avoid local storage if desired, but is not required
- Go to https://www.kaggle.com/datasets/uraninjo/augmented-alzheimer-mri-dataset
- Download the dataset. It should be in a zip file called archive.zip
- Extract all files into a sibling directory from this repository called data
All ML models and analysis can be found under the models
directory
Each model used has a sub-directory within models
where this analysis is conducted
It is important to note that all files are Notebooks, and are intended to hold results (and, therefore, not necessarily intended to be re-run)
All data exploration is conducted under the data-exploration
directory
Here, we explore our dataset and reach key conclusions that will be used when creating our ML models