DS 4400 - Spring 2026

Course: DS 4400 — Machine Learning and Data Mining I
Term: Spring 2026
Instructor: Zohair Shafi
Email: shafi.z [at] northeastern [dot] edu
Meeting Times: Monday and Wednesday | 02:50 PM - 04:30 PM
Location: Snell 033

This course provides a broad introduction to machine learning with a focus on fundamental algorithms for supervised learning. Topics include regression, linear and non-linear classification, ensemble methods, and deep learning. Students will gain practical experience implementing algorithms, evaluating models, and understanding the trade-offs involved in real-world applications.

The course also introduces ethical considerations in machine learning, including fairness, transparency, and responsible use of data and models.

• Probability and statistics
• Calculus
• Linear algebra
• Programming experience in Python or a similar language

Primary text: An Introduction to Statistical Learning with Applications in Python (ISL)

• Assignments — 50% (12.5% x 8 assignments)
• Midterm Exam — 20%
• Final Exam — 25%
• Class Participation — 5%