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An end-to-end implementation of intent prediction with Metaflow and other cool tools
Dockerizing streamlit application and deploying it on heroku.
Dockerize and deploy machine learning model as REST API using Flask
Orchestration of data science and earth observation models in Apache Airflow, scale-up with Celery Executor, experiment with jupyter notebook using a docker containers composition
Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!
You can automate the process of building, testing, delivering, or deploying your Machine Learning models into production using GitHub Actions
