Machine Learning (ML) has revolutionized the world of artificial intelligence, enabling computers to learn from experience and improve their performance on a specific task without explicit programming. Python, with its simplicity and powerful libraries, has emerged as one of the most popular languages for implementing machine learning algorithms. In this article, we will dive into the basics of machine learning with Python and explore its vast potential. 1. What is Machine Learning? Machine Learning, emphasized in the machine learning course , is a subfield of artificial intelligence that focuses on creating algorithms that can learn from data. The primary goal of ML is to enable computers to make decisions or predictions without being explicitly programmed for every scenario. The process involves training the model on a dataset, learning patterns, and then using this knowledge to make accurate predictions on new, unseen data. What is Transfer Learning? 2. Types of Machine Learning Mac