Regression is a technique for determining how independent features or variables relate to a dependent part or result. Once the link between the independent and dependent variables has been estimated, outcomes may then be predicted. Regression is a statistical study area essential to machine learning forecast models. It is helpful for forecasting and predicting outcomes from data since it is used as a method to predict continuous outcomes in predictive modelling. Regression using machine learning often entails drawing a line of best fit through the data points. To obtain the best fit line, the distance between each point and the line is minimised. Read this blog What is Regression in Machine Learning And Its Types to know more about what is regression in machine learning.
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