This project aims to create a classification model for the skin cancer lesion classification. The data used for this project is HAM10000 dataset which can be found here
In the Data Exploration notebook, the data is visualized and prepared for the actual model training like data splitting, upsampling.
In the Model Creation notebook, the transfer learning based approach is used to develop an actual model.
- Pytorch
- Numpy
- pandas
- matplotlib
- Seaborn
- OpenCV