Loss Function

Math behind Simple Linear Regression

Machine Learning

Simple Linear Regression In this post we will try to understand the Math behind Simple Linear Regression. But before getting into the details let’s understand what Simple Linear Regression means. Simple Linear Regression basically defines relationship between one feature and a continuous outcome variable/ dependent variable y = α +βx. This equation is similar to the…Read more

Mathematical assumptions while solving problems using Regression

Machine Learning

Introduction Understanding the math behind any algorithm is very important. Often we dive straight into solving a problem using some machine learning algorithm and applying all sorts of techniques without understanding the underlying fundamentals of the algorithm, the assumptions that should be taken while implementing it on a particular scenario etc.In this post, we will…Read more