Introduction Naive Bayes in Machine learning is a supervised learning type of algorithm. This algorithm is primarily based on the concepts of conditional probability and bayes theorem. The Naive Bayes …

Introduction SVM in Machine Learning is an abbreviation for Support Vector Machine. It is one of the significant machine learning algorithms used for supervised learning. It can solve Regression as …

Introduction KNN in machine learning stands for K- nearest neighbor. It is one of the simplest supervised machine learning algorithms. It is a classification type of machine learning algorithm. We …

Introduction As you might have got some idea from the title of the blog itself, in this blog we will carry out predictions on a Car Evaluation using machine learning. …

Introduction In this blog we are going to cover Random Forest, which is a popularly used algorithm in machine learning. It is a supervised type of machine learning. A supervised …

Introduction This blog deals with Decision Tree which is one of the most popular machine learning algorithm. There are blogs in other basic machine learning algorithms such as Linear Regression …

Introduction In our previous blog we read in detail about Linear regression, the approach used in this regression, the loss functions, its use and many other aspects of the same. …

Introduction In today’s world, Machine Learning is one of the domains where many advancements in Science and Technology take place. This is mainly due to the abundance of data. The …

Introduction Logistic Regression is a supervised algorithm in machine learning which operates on a given set of independent variables to generate categorical results such as 0/1, yes/no, true/false. The major …

Introduction In this blog, we will focus on oops in python i.e. is Object Oriented Programing language as before starting oops you must be clear in concepts of function and …