Starting with an introduction to image processing, utilizing the numpy library, in a python notebook we will go step by step to learn the basics of image loading, image display along with the 3 RGB channels, applying KMeans Clustering to the image, mask creation and focusing on the target area we want to examine. This will be followed by an analysis of various machine learning applications in the field of skin disease diagnosis and finally, we will also run a machine learning model for a pseudo-diagnosis on one of the images in our dataset.