Homework 1: Introduction to Machine Learning

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

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Homework 2: Machine Learning for Regression

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

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Homework 3: Machine Learning for Classification

Score: 7 = 6 (questions) + 1 (FAQ) + 0 (learning in public)

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Homework 4: Evaluation Metrics for Classification

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

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Homework 5: Deploying Machine Learning Models

Score: 6 = 4 (questions) + 1 (FAQ) + 1 (learning in public)

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Learning in public links: Show

• https://www.linkedin.com/posts/abdullahi-mujaheed-aliyu-9619a21bb_navigating-the-machine-learning-landscape-activity-7389320261248098305-cwda?utm_source=share&utm_medium=member_desktop&rcm=ACoAADM52NkBfpykHRpQUEvI7eu9mwwUjefBYAQ

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

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Homework 9: Serverless Deep Learning

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

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Capstone 1

Project score: 7 Passed

Score: 16 = 7 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

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Capstone 2

Project score: 10 Passed

Score: 19 = 10 (project) + 9 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project