Homework 1: Introduction to Machine Learning

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 2: Machine Learning for Regression

Score: 4 = 4 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 4: Evaluation Metrics for Classification

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 6: Decision Trees and Ensemble Learning

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 8: Neural Networks and Deep Learning

Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 9: Serverless Deep Learning

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Capstone 1

Project score: 12 Passed

Score: 21 = 12 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Capstone 2

Project score: 7 Passed

Score: 16 = 7 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project