Quirky Panini
Total Score: 40
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 8 = 7 (questions) + 0 (FAQ) + 1 (learning in public)
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Homework 2: Machine Learning for Regression
Score: 7 = 5 (questions) + 0 (FAQ) + 2 (learning in public)
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- https://www.linkedin.com/posts/marina-galchenkova-6ab0a5149_mlzoomcamp-machinelearning-learninginpublic-activity-7380355098297827328-Ejt4?utm_source=share&utm_medium=member_desktop&rcm=ACoAACPJX6MBL66J1pe8AVl_33oZA-4D0VJjnvM
- https://www.linkedin.com/posts/marina-galchenkova-6ab0a5149_mlzoomcamp2025-machinelearning-learninginpublic-activity-7381801514656292864-uxHx?utm_source=share&utm_medium=member_desktop&rcm=ACoAACPJX6MBL66J1pe8AVl_33oZA-4D0VJjnvM
Homework 3: Machine Learning for Classification
Score: 6 = 5 (questions) + 0 (FAQ) + 1 (learning in public)
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Homework 4: Evaluation Metrics for Classification
Score: 6 = 5 (questions) + 0 (FAQ) + 1 (learning in public)
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Homework 5: Deploying Machine Learning Models
Score: 6 = 5 (questions) + 0 (FAQ) + 1 (learning in public)
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Homework 6: Decision Trees and Ensemble Learning
Score: 7 = 6 (questions) + 0 (FAQ) + 1 (learning in public)
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