This Machine Learning Tutorial for Beginners covers the fundamentals of ML, including supervised and unsupervised learning, algorithms like linear regression and decision trees, and hands-on Python coding. Learn data preprocessing, model training, and evaluation with real-world examples. Perfect for beginners looking to break into AI and data science. No prior experience required!