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22,271 changes: 0 additions & 22,271 deletions data_analytics/most_common_disease_feature/dataset/2014-2019.csv

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374 changes: 0 additions & 374 deletions data_science/alzheimers_prediction/Alzheimer's_dataset.csv

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Expand Up @@ -59,7 +59,7 @@ The **Alzheimer's Disease Prediction** project uses machine learning models to a
## Usage

### Upload Alzheimer's Data:
- The notebook loads a dataset containing clinical and neuroimaging data.
- The notebook loads a dataset containing clinical and neuroimaging data which can be found within the Data Warehouse.
- Ensure the dataset is correctly formatted and structured as expected for the best results.

### Train and Test the Model:
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7 changes: 5 additions & 2 deletions data_science/diabetes_prediction/data/previous/README.md
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@@ -1,4 +1,7 @@
Contained in this folder is:
The following data can be found within the Data Warehouse:

Link to Data Warehouse Documentation for more information: [Redback Documentation](https://redback-operations.github.io/redback-documentation/docs/category/data-warehousing-team "Go to doc")


1. diabetes_predication_dataset.csv
- This was a previous dataset that was looked at, but subsequently has been dropped from our work after further analysis this trimester.
Expand Down Expand Up @@ -46,4 +49,4 @@ Partial Paresis: Partial paralysis.
Muscle Stiffness: Stiffness in muscles.
Alopecia: Hair loss.
Obesity: Presence of obesity.
The target label for this dataset is class, which indicates whether the individual is classified as positive or negative for diabetes.
The target label for this dataset is class, which indicates whether the individual is classified as positive or negative for diabetes.

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