Course Description
This course provides an approachable introduction to AI and ML concepts, focusing on practical understanding over math-heavy theory. Learners explore supervised and unsupervised learning, data preprocessing, model training, and evaluation using Python and popular libraries like NumPy, Pandas, and Scikit-learn. Real examples such as predicting outcomes and classifying data bring theory to life. Students gain insight into how AI impacts daily life and careers, preparing them for deeper specializations in data science or applied AI.