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

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# MRI Image Dataset for Alzheimer's Classification

This directory contains the MRI brain scan dataset used for the **image-based Alzheimer's prediction model**.

---

## Structure

```
Image Dataset/
├── train/
│ ├── MildDemented/
│ ├── ModerateDemented/
│ ├── NonDemented/
│ └── VeryMildDemented/
├── test/
│ ├── MildDemented/
│ ├── ModerateDemented/
│ ├── NonDemented/
│ └── VeryMildDemented/
```

Each subfolder represents a class of cognitive condition. The model uses these folders to train and evaluate a CNN classifier.

---

## Source

The original dataset can be found here on Kaggle:
🔗 [Alzheimer's Dataset (4 Class of Images)](https://www.kaggle.com/datasets/sachinkumar413/alzheimer-dataset-4-class-of-images)

---

## Usage

This dataset is used by the CNN model defined in the **Image Processing** module. The notebook:
```
Image Processing/model.ipynb
```
loads this dataset, preprocesses it, and trains the model.

---

## Note

Make sure that:
- Directory names match exactly (case-sensitive)
- Images are correctly labeled for consistent results

---
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# Dataset – MRI Alzheimer's Classification

This folder contains MRI brain scan images used to train and test the deep learning model for classifying different stages of Alzheimer's disease.

---

## Classes

Each subfolder represents a cognitive health stage:

- **No Impairment** — Healthy individuals
- **Very Mild Impairment** — Early signs of dementia
- **Mild Impairment** — Noticeable cognitive decline
- **Moderate Impairment** — Significant cognitive decline

---

## Usage

- This directory is used by the Convolutional Neural Network (CNN) model in the **Image Processing** module.
- Images are automatically loaded and preprocessed using directory labels.
- The dataset is split into `train/` and `test/` folders to support proper model evaluation.

---

## Requirements

Make sure to:
- Keep folder names exactly as listed (case-sensitive)
- Maintain class balance for reliable performance
- Map folder names to integer labels (0–3) during preprocessing

---

## 📁 Structure

```
Image Dataset/
├── train/
│ ├── No Impairment/
│ ├── Very Mild Impairment/
│ ├── Mild Impairment/
│ └── Moderate Impairment/
├── test/
│ ├── No Impairment/
│ ├── Very Mild Impairment/
│ ├── Mild Impairment/
│ └── Moderate Impairment/
```

---
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