Short Course Description
A beginner-friendly, coding-focused course that teaches core machine learning concepts using Python. Students learn the essential ML algorithms and build several hands-on projects using scikit-learn.
Target Audience
-Beginners with zero ML experience
-Students familiar with Python
-Developers switching to AI/ML
-Data science job seekers
-Business professionals wanting foundational ML knowledge
What Students Will Learn
-ML workflow: data → model → evaluation
-Supervised learning (regression, classification)
-Unsupervised learning (clustering, PCA)
-Train/test splits, model selection
-Reading ML outputs & evaluation metrics
-Real projects using scikit-learn
-Basic feature engineering
