Patrick Edosoma

Total Score: 125

Homework submissions

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

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Homework 5: Deploying Machine Learning Models

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

Homework 6: Decision Trees and Ensemble Learning

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

Homework 8: Neural Networks and Deep Learning

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

Homework 9: Serverless Deep Learning

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

Article

Score: 21 = 20 (questions) + 0 (FAQ) + 1 (learning in public)

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Project submissions

Midterm Project

Project score: 16 Passed

Score: 26 = 16 (project) + 9 (peer review) + 1 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

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Capstone 1

Project score: 14 Passed

Score: 25 = 14 (project) + 9 (peer review) + 1 (learning in public / project) + 1 (learning in public / peer review) + 0 (FAQ)

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Capstone 2

Project score: 10 Passed

Score: 24 = 10 (project) + 9 (peer review) + 2 (learning in public / project) + 3 (learning in public / peer review) + 0 (FAQ)

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