Linear Regression works awesome until there is the data that contains outliers. — Linear Regression works awesome until there is the data that contains outliers. What are outliers? In the above graph, some points are lying far away from the regression line. These data or points are called outliers. For example, if a variable or a point in the graph follows the normal…

The term “linearity” in algebra refers to a linear relationship between two or more variables. Linear Regression is a machine… — The term “linearity” in algebra refers to a linear relationship between two or more variables. Linear Regression is a machine learning-based algorithm that models a predicted value depending upon the independent variables. It is based on supervised learning. The above graph describes the percentage that can be scored by the…

Towers of Hanoi, the most common example taken when we speak about the term “Recursion”. Let’s discuss this problem in-depth and try to… — Towers of Hanoi, the most common example taken when we speak about the term “Recursion”. Let’s discuss this problem in-depth and try to understand the recursion concept clearly. Problem Statement: Towers of Hanoi consists of three rods and n number of disks of different sizes, which can be moved to any rod…

Recursion….Recursion….Recursion — Recursion….Recursion….Recursion It is the most commonly heard term. How hard or how easy is recursion?! Let’s take a look!!! Recursion is the most important concept in the programming arena. It is made to solve problems that can be broken down into smaller, repetitive problems. …