Polynomial Regression is a type of regression analysis where the relationship between independent and dependent variables is represented by an nth degree polynomial. These models are typically fitted using the method of least squares, which minimizes the variance of the coefficients, as per the Gauss-Markov theorem. Essentially, Polynomial Regression is a specialized form of Linear […]
Multidimensional scaling refers to understanding the similarities and dissimilarities between the features in the dataset by visualization. Multidimensional scaling is also called MDS. It is used in various fields like psychology, marketing and geography. In this blog we will explore what MDS is, its features, when to use MDS, types of MDS. Introduction MDS is […]
In general, the Confusion Matrix is used to evaluate the performance of a machine learning model. If you are a beginner, when you are trying to decode the confusion matrix, you may end up feeling stuck. In this blog, we aim to decode the confusion matrix for both 2×2 matrix and 3×3 matrix and try […]
