This beginner-friendly course introduces you to the world of Machine Learning. Learn how algorithms work, how to prepare data, and how to build your first ML models using Python and scikit-learn.

What you will learn

• Supervised vs. unsupervised learning
• Training and evaluating ML models
• Data preprocessing and feature selection
• Algorithms: Linear regression, KNN, Decision Trees
• Using Python libraries: scikit-learn, pandas, matplotlib

Requirements

• Basic knowledge of Python
• Understanding of variables, loops, and functions
• Curiosity to explore data-driven solutions