Homework 1: Introduction to Machine Learning

Score: 7 = 7 (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 3: Machine Learning for Classification

Score: 1 = 1 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 4: Evaluation Metrics for Classification

Score: 2 = 2 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 5: Deploying Machine Learning Models

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

Homework 6: Decision Trees and Ensemble Learning

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

Homework 8: Neural Networks and Deep Learning

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

Homework 9: Serverless Deep Learning

Score: 1 = 1 (questions) + 0 (FAQ) + 0 (learning in public)

Homework 10: Kubernetes and TensorFlow Serving

Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)

Midterm Project

Project score: 5 Failed

Score: 14 = 5 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project