Introduction It is sometimes said that science is a "river of chances, " providing a wealth of choices for further study as well as employment in a variety of sectors. BSc graduates have a wide variety of choices when it comes to the subjects, fields, or themes they could choose ... Read More

Introduction: Simple Linear Regression The "Supervised Machine Learning" algorithm of regression is used to forecast continuous features. The simplest regression procedure, linear regression fits a linear equation or "best fit line" to the observed data in an effort to explain the connection between the dependent variable one and or more ... Read More

Introduction The link between the dependent and independent variables, Y and X, is modelled as the nth degree of the polynomial in polynomial regression, a type of linear regression. In order to draw the best line using data points, this is done. Let’s explore more about the Polynomial regression in ... Read More

Introduction Since its inception in 1956, the term "artificial intelligence" (AI) has advanced significantly and grown in popularity. Salutations to the vast amounts of data, sophisticated algorithms, and advancements in processing power and storage. The development of Machine learning and artificial intelligence has increased the need for smart individuals to ... Read More

Introduction One of the most essential mathematical notations in computer science for determining an algorithm's effectiveness is the Big O notation. The length of time, memory, other resources, as well as a change in input size required to run an algorithm can all be used to evaluate how effective it ... Read More