Skin-Cancer-Mole-Classification

This is a submission for the GDSC Hacker Assignment, in which the chosen task is skin cancer classification between benign and malignant moles. MovileNetV2 is used as the base model. The file is a Jupyter Notebook file, hence, an installation of Jupyter Notebook is required to run it. Below are several references used throughout the process of doing this assignment:

1. Dataset: https://www.kaggle.com/datasets/fanconic/skin-cancer-malignant-vs-benign/data
2. https://www.kaggle.com/code/fanconic/starter-skin-cancer-malignant-vs-benign
3. https://www.kaggle.com/code/mahmoudreda55/skin-canser-84?scriptVersionId=109309467
4. https://www.tensorflow.org/tutorials/images/transfer_learning