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Skin cancer Binary Classifier via Kaggle

Skin cancer is classified by two main types: melanoma and non-melanoma. Currently, 2-3 million non-melanoma and 132,000 melanoma skin cancers are diagnosed globally each year. The incidence of skin cancer is evident by a statistic based on the World Health Organization (WHO) that states that every 1 in 3 cancers diagnosed is a skin cancer. The increased incidence of skin cancer is attributed to the depleted ozone level and as the atmophosphere loses its protective filter function, an increased amount of solar UV radiation will reach the Earth's surface. Additionally, increased reactreation exposure to the sun and history of sunburn are main factors that predispose an individual to the development of skin cancer. These factors are preventable and each individual is responsible to protect themselves from the sun (i.e., using sunblock).

Connecting to the Kaggle API

This repo uses the Kaggle API to fetch the dataset. Follow these steps to access the Kaggle API:

Create a Kaggle account Generate an API token from kaggle.com/USERNAME/account -- this prompts you to download a kaggle.json file which contains the credentials Populate .env file with your Kaggle credentials to set them as your environment variable. We also use pre-commit hooks to keep our code clean. Please enable this using pre-commit install prior to making any code changes.

Go ahead and see the dataset for yourself : https://www.kaggle.com/fanconic/skin-cancer-malignant-vs-benign Follow me on LinkedIn : https://www.linkedin.com/in/tim-cvetko-32842a1a6/

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