In this tutorial, we are going to learn about Redis step by step. Let’s get started and let’s see what is Redis. What is Redis? Redis is an open-source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. …

GO Language is also known as Golang. In this article, I’ll explain basic information about Go Language. We will build a basic application to understand the theories of the Go Language. Why Go Language? Go is a programming language developed at Google in 2007. And it is open-sourced. But at that time there…

Boosting is a technique that involves combining weak learners to form a strong learner. Weak learners, which are models that cannot predict properly, are combined sequentially to form a chain of models. When input is provided, it goes from one model to another until a final output is produced. The…

In this article, I am going to explain to you Ensemble techniques and one of the famous Ensemble techniques which belongs to the Bagging technique called Random Forest Classifier and Regression. Ensemble techniques are machine learning techniques that combine multiple base modules and models to create an optimal predictive model…

In this article, I will focus on discussing the purpose of decision trees. A decision tree is one of the most powerful algorithms of supervised learning algorithms used for solving regression and classification problems. We’ll explore this concept through various examples using a specific dataset. It’s important that decision trees…

In this article, I am going to explain two Machine Learning algorithms called Bayes Theorem and K-Nearest Neighbors Algorithm. Bayes’ Theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probability. The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised…

In this article, I am going to explain about the interesting topic you all want to know. That is Tinder System Design and Architecture. Tinder is an online dating and geosocial networking application launched in 2012 and it has become a very useful and very big application. Technical Background about Tinder Tinder doesn't have…

Classification metrics let you assess the performance of machine learning models but there are so many of them, each one has its own benefits and drawbacks, and selecting an evaluation metric that works for your problem can sometimes be really tricky. In this article, you will learn about a bunch…

In this article, I am going to explain to you about Logistic Regression. Logistic Regression is a Classification Algorithm. Logistic regression is one of the most simple machine learning models. They are easy to understand, interpretable, and can give pretty good results. Every practitioner using logistic regression must know about…