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

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Homework 4: Evaluation Metrics for Classification

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

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Homework 8: Neural Networks and Deep Learning

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

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Homework 9: Serverless Deep Learning

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

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Homework 10: Kubernetes and TensorFlow Serving

Score: 6 = 6 (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