Azure Machine Learning - Classification Predictive Analysis Using Iris Dataset

Machine Learning (ML) and Artificial Intelligence (AI) are the most difficult domains in terms of developing and implementing. There are a lot of pre and post processes involved while implementing a machine learning based solution to solve even the simplest problem. In general, machine learning implementation involves the following steps. The above four steps seem very simple in theory, however, when you try to implement these, a lot of resources and limitations catch your attention to achieve the desired outcome. This is, however, the part where we are simply trying to implement our solution to achieve the desired accuracy and we have not even yet touched the application part of what our solution is capable of offering.