Supervised learning is a cornerstone of machine learning, providing a structured framework for predicting outcomes based on labeled training data. This method is pivotal for many applications, from financial forecasting to image recognition. In this article, we explore the fundamentals of supervised learning, its types, and the key algorithms that

In the evolving landscape of technology, three domains stand out for their profound impact on how we interpret data and automate processes: Data Science, Machine Learning, and Artificial Intelligence (AI). While these fields are interrelated, each has distinct roles and applications that contribute to the broader goal of transforming data