Homework 1: Introduction

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

Homework URL: View submission

Homework 2: Experiment Tracking

Score: 9 = 6 (questions) + 1 (FAQ) + 2 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://medium.com/@ab.vancouver.canada/a-comprehensive-guide-to-mlflow-what-it-is-its-pros-and-cons-and-how-to-use-it-in-your-python-468af13468c6
• https://www.linkedin.com/posts/anna-beketova_a-comprehensive-guide-to-mlflow-what-it-activity-7201692048800833538-B7P9?utm_source=share&utm_medium=member_desktop

Homework 3: Training Pipelines

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

Homework URL: View submission

Homework 4: Deployment

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

Homework URL: View submission

Homework 5: Monitoring

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

Homework URL: View submission

Learning in public links: Show

• https://www.linkedin.com/posts/anna-beketova_monitoring-data-drift-with-evidently-ai-and-activity-7211136681465327618-eLV1?utm_source=share&utm_medium=member_desktop
• https://medium.com/@ab.vancouver.canada/monitoring-data-drift-with-evidently-ai-and-grafana-a-comprehensive-guide-169bff90f48c