Homework 1: Introduction to Machine Learning

Score: 8 = 7 (questions) + 1 (FAQ) + 0 (learning in public)

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Homework 2: Machine Learning for Regression

Score: 3 = 3 (questions) + 0 (FAQ) + 0 (learning in public)

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Homework 4: Evaluation Metrics for Classification

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

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Homework 5: Deploying Machine Learning Models

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

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Homework 6: Decision Trees and Ensemble Learning

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

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Capstone 1

Project score: 9 Passed

Score: 18 = 9 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

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Capstone 2

Project score: 16 Passed

Score: 25 = 16 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

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