Kelly Vergara Torres

Total Score: 99

Homework submissions

Homework 2: Machine Learning for Regression

Score: 4 = 4 (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 6: Decision Trees and Ensemble Learning

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

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Homework 8: Neural Networks and Deep Learning

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

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Homework 9: Serverless Deep Learning

Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)

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Project submissions

Midterm Project

Project score: 13 Passed

Score: 27 = 13 (project) + 9 (peer review) + 5 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

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Capstone 2

Project score: 15 Passed

Score: 39 = 15 (project) + 9 (peer review) + 14 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)

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