#SLOPE INTERCEPT TO STANDARD CALCULATOR HOW TO#

Best example is K means clustering where new data is classified into that cluster where maximum features match. Unsupervised Machine Learning: In this type of learning, there are no targets and classification is done based on clustering. Linear regression lies in the regression type which is focus of this article Classification deals with categorical data whereas regression deals with continuous type of data. It is further categorized into two types named as classification and regression. Supervised Machine Learning: In supervised learning we have targets with respect to data. Machine learning is of three types named as: Machine learning is a technique to make machines think like humans. I have started from this section because regression comes under machine learning. To start this section let us discuss what is machine learning and what are its types.

#SLOPE INTERCEPT TO STANDARD CALCULATOR HOW TO#

How to calculate slope and intercept of regression line.

Real time face recognition using Facenet | AI Sangam Table of Contents If readers are interested to know what could be achieved using deep learning, then they can also read from the article below. Not only this I also request passionate readers to do the code by hand so that they may understand the things better.

In the end, I guess readers will learn how to calculate slope and intercept very easily.

I also urge readers to join AI Sangam youtube channel if they are not from the below link. This will make article very interesting for the readers. I will also write the equation for both slope and intercept and implement it. Best part of this article would be the calculation of slope and intercept would be done using programming skills. In this tutorial readers will learn how to calculate regression line which is also called goodness of fit.

Slope intercept to standard calculator