Making predictions with regression algorithms

Since the dawn of time, human beings have tried to foresee the future. How many rainy days will there be in the next week? What will be the harvest for next season? These types of problems are regression problems. The goal is to predict the value of a continuous response variable. This is also a supervised learning task.

Regression analysis is a statistical process of studying the relationship between a set of independent variables (explanatory variables) and the dependent variable (response variable). Through this technique, it is possible to understand how the value of the response variable changes when the explanatory variable is varied.

Consider a group of bikes about which some information ...

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