What is XAI? Understanding Explainable Artificial Intelligence
Introduction Artificial Intelligence (AI) has made groundbreaking advancements, but many of its decision-making processes remain a "black box" to humans....
Introduction Artificial Intelligence (AI) has made groundbreaking advancements, but many of its decision-making processes remain a "black box" to humans....
Introduction Retrieval-based chatbots are akin to virtual librarians. They don’t create new content but help users find the exact information...
Voting is one of the simplest ensemble methods. In voting, multiple models are trained separately, and the final prediction is...
Introduction In the world of machine learning, improving prediction accuracy is always a goal. One powerful technique that helps achieve...
What is AdaBoost? AdaBoost (Adaptive Boosting) is one of the first boosting algorithms developed for binary classification problems. It works...
Introduction In machine learning, creating a model that makes accurate predictions can sometimes be tricky, especially when a single model...
Random Forest is one of the most popular and powerful machine learning algorithms. It’s often used in classification tasks (e.g.,...
Before discussing the classification, let us recap the different types of machine learning again Classification is a type of problem...
Welcome to the "Machine Learning with Python" free course! This course is designed for anyone interested in learning machine learning...
Multiple Linear Regression is an extension of simple linear regression. It is used when we want to predict the value...
Evaluation metrics are essential for assessing the performance of regression models. They help us understand how well our model predicts...
Linear Regression is a fundamental and widely-used type of regression analysis. It models the relationship between a dependent variable and...
Regression is a type of supervised learning used to predict continuous numerical values. It involves identifying the relationship between a...
Supervised learning is a fundamental machine learning approach where models are trained using labeled data. This means each input example...
Machine Learning (ML) can be categorized into different types based on the way they learn from data. Here, we'll discuss...