Abdiaziz Qaladid

About me: I am a Data Engineer with a solid foundation in Software Engineering, leveraging experience to design and optimize data pipelines for seamless integration and analysis. Skilled in building scalable data solutions, with additional knowledge of Machine Learning to bridge the gap between data and intelligent insights.

Total Score: 215

Homework submissions

Homework 1: Introduction to Machine Learning

Score: 12 = 6 (questions) + 1 (FAQ) + 5 (learning in public)

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Homework 2: Machine Learning for Regression

Score: 11 = 4 (questions) + 1 (FAQ) + 6 (learning in public)

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Homework 3: Machine Learning for Classification

Score: 12 = 4 (questions) + 1 (FAQ) + 7 (learning in public)

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Homework 4: Evaluation Metrics for Classification

Score: 10 = 2 (questions) + 1 (FAQ) + 7 (learning in public)

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Homework 5: Deploying Machine Learning Models

Score: 13 = 5 (questions) + 1 (FAQ) + 7 (learning in public)

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Homework 6: Decision Trees and Ensemble Learning

Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)

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Homework 8: Neural Networks and Deep Learning

Score: 12 = 4 (questions) + 1 (FAQ) + 7 (learning in public)

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Homework 9: Serverless Deep Learning

Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)

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Homework 10: Kubernetes and TensorFlow Serving

Score: 15 = 7 (questions) + 1 (FAQ) + 7 (learning in public)

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ML Zoomcamp 2024 Competition

Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)

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Project submissions

Midterm Project

Project score: 15 Passed

Score: 44 = 15 (project) + 9 (peer review) + 14 (learning in public / project) + 5 (learning in public / peer review) + 1 (FAQ)

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Capstone 1

Project score: 15 Passed

Score: 45 = 15 (project) + 9 (peer review) + 14 (learning in public / project) + 6 (learning in public / peer review) + 1 (FAQ)

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