A Support Vector Machine (SVM) is a very powerful and versatile Machine Learning model, capable of performing linear or nonlinear classification, regression ...

In the dynamic world of business, where data-driven decisions reign supreme, the accuracy and reliability of classification models play a pivotal role. Whet ...

Descriptive Statistics Define mean, median, and mode. How do they differ? What is the difference between population variance and sample variance? How do out ...

In previous blog, We read about Linear SVM. In this blog we will talk about soft margin classification. If we strictly impose that all instances be off the ...

In previous blog, We read about Soft margin Classification. In this blog we will talk about Non Linear SVM Classification. Introduction Although linear SVM ...

Some commands you may know already but may not know they can be used this way Pandas is a widely used Python package for structured data. There’re many nice ...

Machine learning algorithms often involve optimizing a model to fit the given data. One such optimization technique is gradient descent, a…

INTRODUCTION Query optimization is an important skill for SQL developers and database administrators (DBAs). In order to improve the performance of SQL quer ...

Introduction During model development, one of the techniques that many don’t experiment with is feature discretization. The core idea is to transform a cont ...

In Previous blog we talked about Non Linear SVM Classifications. In this blog we will talk about Polynomial Kernel. Introduction Adding polynomial features ...

Introduction In Previous blog we talked about Polynomial Kernel. In this blog we will talk about Gaussian RBF Kernel. Just like the polynomial features meth ...

As we mentioned earlier, the SVM algorithm is quite versatile: not only does it support linear and nonlinear classification, but it also supports linear and ...

Like SVMs, Decision Trees are versatile Machine Learning algorithms that can perform both classification and regression tasks, and even multioutput tasks. T ...