TECH 27 — Applied Machine Learning with Python
Quarter: Winter
Instructor(s): Ishaani Priyadarshini
Date(s): Jan 13—Mar 3
Class Recording Available: Yes
Class Meeting Day: Wednesdays
Grade Restriction: No letter grade
Class Meeting Time: 6:00—7:30 pm (PT)
Tuition: $590
Refund Deadline: Jan 15
Unit(s): 1
Status: Registration opens Nov 30, 8:30 am (PT)
Quarter: Winter
Day: Wednesdays
Duration: 8 weeks
Time: 6:00—7:30 pm (PT)
Date(s): Jan 13—Mar 3
Unit(s): 1
Tuition: $590
Refund Deadline: Jan 15
Instructor(s): Ishaani Priyadarshini
Grade Restriction: No letter grade
Recording Available: Yes
Status: Registration opens Nov 30, 8:30 am (PT)
Machine learning has evolved from a technical specialty into an essential decision-making tool for business leaders. This course uses Python to equip professionals with both technical skills and strategic frameworks for effective decision-making. Through hands-on exercises, you'll master essential techniques in regression, classification, and advanced algorithms in deep learning. Students will implement and test over 15 different machine learning methods, gaining practical experience through real-world case studies in finance, healthcare, ecommerce, and marketing and interactive projects selected to reflect real-world business challenges. We will explore both supervised and unsupervised learning techniques, with assignments tailored to accommodate varying experience levels. Students will complete a customizable final project that aligns with their professional goals.