Homework 1: Introduction to Machine Learning

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

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Homework 2: Machine Learning for Regression

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

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Homework 3: Machine Learning for Classification

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

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Homework 4: Evaluation Metrics for Classification

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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Homework 8: Neural Networks and Deep Learning

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

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Homework 9: Serverless Deep Learning

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

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Homework 10: Kubernetes and TensorFlow Serving

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

Capstone 1

Project score: 11 Passed

Score: 20 = 11 (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: 13 Passed

Score: 22 = 13 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project