Machine Learning Fundamentals: A Complete Guide for 2025

Machine Learning is the foundation of modern AI. This complete guide covers the three learning paradigms: supervised learning (classification and regression), unsupervised learning (clustering and dimensionality reduction), and reinforcement learning. Master the complete ML pipeline from problem definition to deployment, explore popular algorithms like Random Forests, XGBoost, and Neural Networks, and learn best practices for data preprocessing, model evaluation, and avoiding common pitfalls like overfitting.