Choosing a Machine Learning Model

Ever wonder how we can apply machine learning algorithms to a problem in order to analyze, visualize, discover trends & find correlations within data? In this article, I'm going to discuss common steps for setting up a machine learning model as well as approaches in selecting the right model for your data. This article was inspired by common interview questions that were asked about how I go along with my approach with a data science problem and why I choose said model. Machine learning tasks can be classified into either supervised learning, unsupervised learning, semi-supervised learning & reinforcement learning. In this article we don't focus on the last two, however, I'll give some idea of what they're.