Skin cancer is a dangerous disease that can be hard to diagnose accurately. Machine learning and deep learning algorithms have been found to be very helpful in diagnosing skin diseases. This article explores different techniques using these algorithms to diagnose skin diseases. It discusses how images are taken from dermatology, provides datasets, and explains popular machine learning and deep learning methods. The article also presents performance evaluation metrics and discusses future research directions and challenges in the field. The main goal is to describe modern methods for diagnosing skin diseases using machine learning and deep learning.