Using machine learning in data analysis is a rather procedural approach. As we can notice from the approach, we will start by Preparing data » Defining a model » Model diagnostic checking » Model prediction to complete our workflow. This workflow is often and commonly practiced when we are doing data analysis work.
Creation and evaluation of a deep learning model is a procedural work with steps. *Data preparation » Model optimization» Model fitting » Model evaluation » Model prediction Note Model optimization (adam optimizer) Model fitting (batch, epoch)
In this article, we will learn how to image scraping on this National Geographic article: Asteroids vs. comets: How do they differ, and do they pose a threat to Earth? We will learn how to download in bulk the high-quality images in the webpage with Python code.