Download Dataset: Open the provided Kaggle link: https://www.kaggle.com/code/yashmahajan11/skin-cancer-prediction/input. Download the required input files. Run Notebook: Execute the skin-cancer-prediction.ipynb file. This notebook is responsible for training the skin cancer prediction model. Obtain Model: Upon running the notebook, you'll generate the model.h5 file. This file contains the trained skin cancer prediction model. Run Script: Execute vd.py script after installing all the necessary requirements. This script likely utilizes the trained model to make predictions. Installation: Ensure all dependencies are installed by checking the requirements file or documentation. Commonly used tools include Python libraries, which can be installed using pip install -r requirements.txt. Completion: Once you have followed these steps, the skin cancer prediction process is done.