This project explores the various methods we can leverage machine learning to diagnose and locate various forms of brain cancers (glioma, meningioma, pituitary, negative diagnosis) from MRI images. demo.ipynb contains the final deliverable, which utilises a CNN, or convolutional neural network, (see models/CNN.ipynb for model training) to achieve a classification accuracy ~99%.
https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset