-
Customer Segmentation Project using K-prototypes with Code Source
In this tutorial, we will explain and implement a customer segmentation project using K-prototypes. In this article, you will discover what customer segmentation is, why companies use it, and how to create a customer segmentation project using K-prototypes algorithm. After completing this tutorial, you will know: Customer segmentation Definition Why segment customers? Customer segmentation types…
-
Activation Functions in Neural Networks: A Complete Guide
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,…
-
Fake News Detection Project using Python and Machine Learning
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…
