Machine Learning - A non-technical introduction with applications to Marketing (L) (03SM22MO0072)

The following components comprise the final grade:

1. Daily coding exercises: every day of the class (20%): on-site assessments (computer-based, BYOD format; bring a charger)

2. Kaggle competition (10%): on-site assessment (computer-based, BYOD format; bring a charger)

3. Final exam on 06.09.2024 (50%): on-site, written examination, multiple choice format

4. Online exercises on DataCamp (to be completed after the course) (20%)

Absence Policy for Daily Coding Exercises:In the event that a student is unable to participate in a daily coding exercise due to a valid medical reason, the student must promptly submit a doctor's certificate to the instructor (within one week of the missed assessment).With a valid doctor's certificate, students are thus permitted to miss a maximum of two daily coding exercises. Assessments missed under these circumstances will not be factored into the final grade calculation.Consequently, only those assessments taken will contribute to the final grade.If any further daily coding exercises are missed, these will be graded as "1".Failure to provide the necessary documentation within the stipulated one-week period will result in the missed assessment(s) being graded with a "1" and counting towards the final course grade.This policy does not apply to the Kaggle Competition and Final Exam. In cases where the final day (i.e., Day 5) of the course must be unavoidably missed, the official regulations and procedures outlined by the Dean's Office apply.