Machine Learning

What is Regression In Machine Learning With a Example

Introduction Regression is a statistical technique that is used to analyze the relationship between a dependent variable and one or more independent variables. As I have noted the objective is to find the most suitable function that characterizes the link between these variables. It seeks to find the best-fit model, which can be used to… Continue reading What is Regression In Machine Learning With a Example

What are the basic concepts of machine learning and algorithms

Machine Learning is all about learning from data without being explicitly programmed. In explicit programming, code is written for each specific scenario to handle it. However, in Machine Learning does not use this approach. Instead, you have some data and an algorithm. You instruct the algorithm to explore the data and identify patterns between the… Continue reading What are the basic concepts of machine learning and algorithms

Polynomial Regression In Machine Learning

Polynomial regression is a type of regression analysis used in machine learning to model the relationship between the independent variable(s) and the dependent variable by fitting a polynomial equation to the data. It is particularly useful when the relationship between the variables is non-linear. Polynomial Regression Equation The general equation for polynomial regression of degree… Continue reading Polynomial Regression In Machine Learning

Regression in Machine Learning

Regression is a statistical technique that is used to analyze the relationship between a dependent variable and one or more independent variables. The objective is to find the most suitable function that characterizes the link between these variables. It seeks to find the best-fit model, which can be used to make predictions or conclusions. In… Continue reading Regression in Machine Learning

Machine Learning is all about learning from data without being explicitly programmed. In explicit programming, code is written for each specific scenario to handle it. However, in Machine Learning, this approach is not used. Instead, you have some data and an algorithm. You instruct the algorithm to explore the data and identify patterns between the… Continue reading Machine Learning