Machine Learning (ML) is the driving force behind many of today’s intelligent systems — from product recommendations and fraud detection to voice assistants and autonomous vehicles. Our Machine Learning Tutorial is specially crafted for beginners who want to explore this exciting field without getting lost in technical complexity. This guide walks you through the basics of ML, including supervised and unsupervised learning, key algorithms like linear regression and decision trees, and real-world use cases. You'll also get hands-on with popular tools like Python, Scikit-learn, and Jupyter Notebook. No advanced math or prior experience is required — just your willingness to learn and explore. Whether you're a student, a coding enthusiast, or someone looking to transition into data science or AI, this tutorial is your perfect starting point. Start small, build real projects, and watch your skills grow with each lesson!