Frosty Volhard
About me: A geotechnical, geologist, and mining engineer passionate about data seeks innovative ways to apply data analysis in engineering projects.
Total Score: 138
Homework submissions
Homework 1: Introduction
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.tumblr.com/dataeng/750549840691331072/github-codespaces?source=share
- https://www.tumblr.com/dataeng/750550366872010752/introduction-with-anaconda-python-distribution?source=share
- https://www.tumblr.com/dataeng/750550671301984256/introduction-with-docker?source=share
- https://www.tumblr.com/dataeng/750551435524063232/introduction-to-docker-compose-part-1?source=share
- https://www.tumblr.com/dataeng/750551516796141568/introduction-to-docker-compose-part-2?source=share
- https://www.tumblr.com/dataeng/750625624663736320/an-introduction-with-mlops?source=share
- https://www.tumblr.com/dataeng/750625876364984320/hot-encode-in-machine-learning?source=share
Homework 2: Experiment Tracking
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.tumblr.com/dataeng/751170043909406720/an-introduction-with-mlflow?source=share
- https://www.tumblr.com/dataeng/751173911891312640/machine-learning-experiment-tracking?source=share
- https://www.tumblr.com/dataeng/751174918072385536/experiment-tracking?source=share
- https://www.tumblr.com/dataeng/751175941974376448/hyperparameter-tuning?source=share
- https://www.tumblr.com/dataeng/751179629445906432/evaluating-machine-learning-models?source=share
- https://www.tumblr.com/dataeng/751180546449784832/7-best-tools-for-machine-learning-experiment?source=share
- https://www.tumblr.com/dataeng/751180681834594304/mlflow-vs-kubeflow?source=share
Homework 3: Training Pipelines
Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.tumblr.com/dataeng/752185346944630784/mage-introduction?source=share
- https://www.tumblr.com/dataeng/752185895876247552/machine-learning-workflow?source=share
- https://www.tumblr.com/dataeng/752186317167869952/machine-learning-infrastructure?source=share
- https://www.tumblr.com/dataeng/752186606325268480/machine-learning-automation?source=share
- https://www.tumblr.com/dataeng/752189064163246080/orchestration-for-machine-learning?source=share
- https://www.tumblr.com/dataeng/752189873364107264/mlops-with-airflow?source=share
- https://www.tumblr.com/dataeng/752190443591172096/machine-learning-workflow-and-pipeline?source=share
Homework 4: Deployment
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.tumblr.com/dataeng/753280518115803136/machine-learning-model-deployment?source=share
- https://www.tumblr.com/dataeng/753283454601461760/ml-models-deployment-and-testing-in-production?source=share
- https://www.tumblr.com/dataeng/753283629588840448/test-a-machine-learning-model?source=share
- https://www.tumblr.com/dataeng/753283703705354240/improve-machine-learning-model-deployment?source=share
- https://www.tumblr.com/dataeng/753284131540041728/introduction-to-amazon-elastic-container-service?source=share
- https://www.tumblr.com/dataeng/753284989625532416/create-docker-image?source=share
- https://www.tumblr.com/dataeng/753285386656153600/push-a-docker-image-to-amazon-ecr?source=share
Homework 5: Monitoring
Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.tumblr.com/dataeng/754098513545150464/machine-learning-monitoring-keeping-your?source=share
- https://www.tumblr.com/dataeng/754098686596874240/venv-vs-pipenv-choosing-the-right-tool-for?source=share
- https://www.tumblr.com/dataeng/754098843495383040/evidently-ai-keeping-your-machine-learning-models?source=share
- https://www.tumblr.com/dataeng/754099051851546624/open-source-monitoring-tools-keeping-your-systems?source=share
- https://www.tumblr.com/dataeng/754099270829981696/adminer-streamlined-database-management-in-a?source=share
- https://www.tumblr.com/dataeng/754099444415365120/prometheus-tools-for-monitoring-open-source?source=share
- https://www.tumblr.com/dataeng/754099600443457536/grafana-open-source-dashboarding-powerhouse?source=share
Homework 6: Best Practices
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.tumblr.com/dataeng/754277130417913856/an-introduction-to-python-testing-with-pytest?source=share
- https://www.tumblr.com/dataeng/754277454272724992/unit-test-vs-pytest-in-python?source=share
- https://www.tumblr.com/dataeng/754277696237961217/a-guide-to-python-refactoring?source=share
- https://www.tumblr.com/dataeng/754277937573969920/before-and-after-refactoring-in-python?source=share
- https://www.tumblr.com/dataeng/754280392011464704/linting-your-way-to-better-python?source=share
- https://www.tumblr.com/dataeng/754280708162355200/using-git-pre-commit-hooks-for-enhanced-code?source=share
- https://www.tumblr.com/dataeng/754281239496753152/makefiles-for-python-projects?source=share
Project submissions
Project attempt 1
Project score: 29 Passed
Score: 58 = 29 (project) + 9 (peer review) + 14 (learning in public / project) + 6 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Learning in public links: Show
- https://www.tumblr.com/dataeng/756718309941067776/cloud-machine-learning-for-powering-innovation?source=share
- https://www.tumblr.com/dataeng/756718398956847104/azure-machine-learning-for-empowering-ai?source=share
- https://www.tumblr.com/dataeng/756718614184378368/pickling-your-machine-learning-model-a-quick-guide?source=share
- https://www.tumblr.com/dataeng/756718727218806784/mlflow-a-comprehensive-platform-for-the-machine?source=share
- https://www.tumblr.com/dataeng/756718835007193088/mlflow-experiment-tracking-and-model-registry?source=share
- https://www.tumblr.com/dataeng/756719023076605952/terraform-and-azure-machine-learning-a-powerful?source=share
- https://www.tumblr.com/dataeng/756719140059938816/mage-ai-a-modern-approach-to-data-orchestration?source=share
- https://www.tumblr.com/dataeng/756719382932193280/orchestration-tools-in-machine-learning?source=share
- https://www.tumblr.com/dataeng/756719493724651520/model-deployment-bringing-machine-learning-to-life?source=share
- https://www.tumblr.com/dataeng/756719615444434944/model-deployment-on-azure?source=share
- https://www.tumblr.com/dataeng/756719735102750720/model-monitoring-the-backbone-of-successful?source=share
- https://www.tumblr.com/dataeng/756719829014167553/data-drift-detection-and-model-retraining?source=share
- https://www.tumblr.com/dataeng/756719973891768320/cicd-accelerating-software-delivery?source=share
- https://www.tumblr.com/dataeng/756720167560642560/cicd-with-github-actions-automating-your-workflow?source=share