Homework 1: Introduction

Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://ithelp.ithome.com.tw/articles/10205475
• https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html

Homework 2: Experiment Tracking

Score: 10 = 6 (questions) + 0 (FAQ) + 4 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://erhwenkuo.github.io/mlflow/tracking/local-database/
• https://mlflow.org/docs/latest/tracking/autolog
• https://mlflow.org/docs/latest/tracking/server
• https://mlflow.org/docs/latest/getting-started/registering-first-model/step1-register-model

Homework 3: Training Pipelines

Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://airflow.apache.org/docs/apache-airflow/stable/release_notes.html#airflow-2-10-5-2025-02-10
• https://medium.com/@dast04/running-airflow-with-docker-compose-2023-for-machine-learning-a78eeadc00cd

Homework 4: Deployment

Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://pipenv.pypa.io/en/latest/
• https://learn.microsoft.com/en-us/windows/wsl/wsl-config#wslconfig

Homework 5: Monitoring

Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://github.com/evidentlyai/evidently
• https://docs.evidentlyai.com/introduction

Homework 6: Best Practices

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

Homework URL: View submission

Attempt 1

Project score: 28 Passed

Score: 46 = 28 (project) + 9 (peer review) + 9 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Learning in public links: Show

• https://grafana.com/docs/grafana/latest/dashboards/use-dashboards/
• https://grafana.com/docs/grafana/latest/setup-grafana/installation/docker/
• https://blog.min.io/setting-up-a-development-machine-with-mlflow-and-minio/
• https://github.com/minio/minio
• https://clickhouse.com/
• https://clickhouse.com/engineering-resources/oltp-vs-olap
• https://pre-commit.com/
• https://docs.evidentlyai.com/faq/migration
• https://github.com/evidentlyai/evidently/blob/main/tests/future/presets/regression.py

Attempt 2

Project score: 30 Passed

Score: 45 = 30 (project) + 9 (peer review) + 6 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)

Project URL: View project

Learning in public links: Show

• https://docs.celeryq.dev/en/latest/getting-started/introduction.html
• https://developer.confluent.io/confluent-tutorials/kafka-on-docker/
• https://github.com/provectus/kafka-ui
• https://nginx.org/en/docs/http/ngx_http_upstream_module.html#upstream
• https://testdriven.io/courses/fastapi-celery/docker/
• https://medium.com/@youssefchamrah/empowering-applications-with-asynchronous-magic-the-celery-fastapi-docker-and-flower-ac119efc2e04