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…

To run and execute Deep learning models, we can use different libraries such as TensorFlow, Torch, Theano, and Keras in python and other languages In this article, we will focus on Tensoflow 2.0 library and its implementation in python. What is TensorFlow? TensorFlow is an open-source library developed by the Google Brain Team for large…