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/posts/p%C3%A9ter-rikk-b848901a2_mlzoomcamp-activity-7241893992060071936-6Xm-?utm_source=share&utm_medium=member_desktop

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: 6 = 6 (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 5: Deploying Machine Learning Models

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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