Linear Regression
Whenever we talk about any Machine Learning Algorithms , we talk about these 5 main questions:- What type of Training Data used? What Mathematical Function is used? Which Loss Function is used? How is the model Trained? What Metrics is used for evaluation? Everything in the Machine Learning Universe revolves around these 5 questions . There are many popular machine learning algorithms that are commonly used. Regression ,Classification , Clustering ,etc. are some of these . In this post we will be discussing the Regression Algorithm. Regression Regression is a type of Supervised Learning Algorithm , where we have a set of Feature variables and a corresponding Continuous response variable . The task is to find some relationship between these two and try to predict the continuous response variable for every new set of feature variables. There are various Regression algorithms namely Linear Regression , Support Vector Regression , Decision Trees Regression , Random Forest Regression ...