In deep learning, activation functions are essential to controlling how well the model will learn from the training dataset and determining the type of predictions the model will make. Activation functions help the neural network model select useful information from noise. Therefore, the choice of an activation function should be made carefully. In this article,…

The goal of fake news detection is to uncover items that intentionally misinform or deceive readers. Fake news is frequently generated to alter public opinion or for political purposes. After going through this tutorial, you will be able to understand and implement a fake news detection model on Twitter. Let’s get started. What is Fake News? Fake news is defined as “news pieces that are purposely and verifiably untrue”. Who generates fake news and why? Those that run fake news websites want as many people to visit their sites as possible. While some may want their visitors to view the information and be influenced by it, others merely want internet users to click on it, which typically leads to a website where users see more content and advertisements, generating more money for the website owner. The Pipeline of the Project: Fake News Detection using Python I will walk you through step-by-step how we can…

In this article, we will explain what is regression in machine learning. What is Regression? Regression is one type of supervised learning. This technique is used to predict continuous outcomes, unlike classification, where we predict categorical values. In other words, in regression, we investigate the relationship between independent variables (the features) and the dependent variable…