Machine Learning for Beginners

📘 Course Overview

This introductory course is designed to help you understand the fundamentals of machine learning. Whether you're a complete novice or have some coding experience, you'll learn how to build algorithms that improve automatically through experience.

🎯 Learning Objectives

• 🧠 Grasp core concepts like supervised vs. unsupervised learning
• 📊 Learn to work with datasets and perform basic data analysis
• 🧩 Understand how to train models and evaluate their performance
• 🚀 Build simple predictive models using Python and libraries like scikit-learn

📚 Course Outline

1. Introduction to Machine Learning
2. Data Preprocessing & Exploration
3. Model Training & Evaluation
4. Real-World Applications

🖥️ Recommended Tools

• Python
• Jupyter Notebook
• scikit-learn

For advanced topics, check out our Advanced Machine Learning course!