MarDom

Total Score: 105

Homework submissions

Homework 1: Introduction to Machine Learning

Score: 9 = 7 (questions) + 1 (FAQ) + 1 (learning in public)

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Homework 2: Machine Learning for Regression

Score: 7 = 4 (questions) + 1 (FAQ) + 2 (learning in public)

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Homework 3: Machine Learning for Classification

Score: 9 = 6 (questions) + 1 (FAQ) + 2 (learning in public)

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Homework 4: Evaluation Metrics for Classification

Score: 7 = 3 (questions) + 1 (FAQ) + 3 (learning in public)

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Homework 5: Deploying Machine Learning Models

Score: 4 = 3 (questions) + 0 (FAQ) + 1 (learning in public)

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Homework 6: Decision Trees and Ensemble Learning

Score: 9 = 5 (questions) + 1 (FAQ) + 3 (learning in public)

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Homework 8: Neural Networks and Deep Learning

Score: 10 = 6 (questions) + 1 (FAQ) + 3 (learning in public)

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Homework 9: Serverless Deep Learning

Score: 8 = 4 (questions) + 1 (FAQ) + 3 (learning in public)

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Homework 10: Kubernetes and TensorFlow Serving

Score: 11 = 7 (questions) + 1 (FAQ) + 3 (learning in public)

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Project submissions

Midterm Project

Project score: 11 Passed

Score: 31 = 11 (project) + 9 (peer review) + 4 (learning in public / project) + 6 (learning in public / peer review) + 1 (FAQ)

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