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

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Homework 4: Evaluation Metrics for Classification

Score: 5 = 5 (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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Capstone 2

Project score: 5 Failed

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

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