This blog is a continuation of this post. Till now, you went through the Binary Classification metrics. from now, we are gonna learn the metrics for Multi-class classification and in the next article, you’re gonna learn Multi-label classification and its metrics. Multi-class Classification is nothing but solving a classification problem…

This post is the continuation of this and this. Please go through them before you read this post so that you can understand the below things. For the people who already went through PART-I and PART-II, I updated that article due to the absence of a concept called Margins. …

This post is the continuation post of this. Make sure you went through this article before proceeding. Let’s see a diagram:-

Before diving into Support Vector Machines, you need to know what is Classification and Regression. For knowing them, got through this. Here, we are not discussing any math, we’ll discuss it in PART-2 and PART-3 of this post. …

This Blog is the continuation of this post. For now, I am assuming that you know the Confusion matrix, Accuracy, Precision, Recall, and F1 score. I’m again saying, before learning these metrics you need to have knowledge about how to build a classification model. For now, I’ll build a model…

This topic is for those people who have some basic knowledge about machine learning. Before going into the topic, lemme tell you something. The metrics that we’ll see now will be discussed from the perspective of binary classification. So first, Try to get a crystal clear understanding of these concepts…

Before diving into Decision trees, you should be familiar with 2 things, what is Classification? what is Regression? just go through my previous post for getting familiarity with these 2 things. what is a decision tree? A decision tree is a supervised machine learning algorithm, which follows a tree-like structure…

We know that an operating system is an interface between User and Hardware. Unix operating system was introduced to this world by Ken Thomson & Dennis Ritchie. Unix is a general-purpose operating system that offers a High degree of Portability. nowadays, Unix has been the platform from Enterprise-scale database applications…

First let’s understand what is a Hyperparameter:- Hyperparameters are the parameters of the algorithm, where values of them are directly proportional to the behavior and performance of the model. Don’t get confused about the difference between hyperparameters and model parameters. Model parameters are the parameters that are internal things of…