Homework 1: Introduction to Machine Learning

Score: 8 = 7 (questions) + 0 (FAQ) + 1 (learning in public)

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Learning in public links: Show

• https://www.linkedin.com/in/matheus-chavess/

Homework 2: Machine Learning for Regression

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

Homework URL: View submission

Homework 3: Machine Learning for Classification

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

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Homework 5: Deploying Machine Learning Models

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

Homework 6: Decision Trees and Ensemble Learning

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

Homework URL: View submission

Homework 9: Serverless Deep Learning

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

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Midterm Project

Project score: 14 Passed

Score: 23 = 14 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project