Creating any machine learning model is usually dictated by the problem statement at hand. The kind of data available, the amount of data available, and the algorithm being used are some of the fundamental aspects that will define how good the models are. However, creating good machine learning models is an art, and any data scientist can practice a few steps to ensure they produce the best possible model within the constraints.