Brain Tumor Classification

For the full details and a video demo of this project see my linkedin post

Contents

• brain-tumor-classification.ipynb: end-to-end workflow from data loading to evaluation and visualization.

Dataset

The notebook is written for the Kaggle Brain Tumor MRI dataset with Training/ and Testing/ folders. Update the paths in the notebook if your data is stored elsewhere.

Expected structure:

brain-tumor-mri-dataset/
├── Training/
│   ├── glioma/
│   ├── meningioma/
│   ├── notumor/
│   └── pituitary/
└── Testing/
    ├── glioma/
    ├── meningioma/
    ├── notumor/
    └── pituitary/

Requirements

• Python 3.8+
• Jupyter Notebook
• Core packages used in the notebook:
  • numpy, pandas
  • matplotlib, seaborn, plotly
  • scikit-learn
  • tensorflow (keras)
  • opencv-python, pillow
  • python-dotenv (optional)
  • google-generativeai (optional)

Usage

1. Install dependencies in your environment.
2. Open the notebook
3. Update dataset paths if needed and run the cells in order.