Topic 17 | Linear regression using Sklearn
AI Free Basic Course | Lecture 17 | Linear regression using Sklearn Regression is the technique of supervised learning. There are two techniques in supervised learning, one is classification and other is regression. In classification we predict category / nominal value. Category or nominal value means something that has label; for example smoker /nonsmoker, cat /dog etc and we have to convert them into numerical value by effort. In prediction, we use the word positive and negative. For example, if a picture is given to the model and how it will predict whether it is picture of cat or not. Positive value in this would be that it is cat as we want to recognize cat. In medical test, the result is either positive or negative. So positive value is the value in which we are more interested to predict. Remember it does not depend upon whether covid report is positive nor not, it depends what we have set the algorithm about which we are intereste...
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