Regression vs Classification in Machine Learning

Regression and Classification are two major prediction problems which are usually handle with Machine learning.

Regression is the process of finding a  function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data. This course will help you to learn all concepts, develop your skills and knowledge as well. You will come out as an expert as the training is given by highly qualified professionals. Once a training gets completed, certification is also done.

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