Data Science in Production: Building Scalable Model Pipelines

• Introduction to Building Scalable Model Pipelines in Data Science
  • Applied Data Science in Data Science
  • Python for Scalable Compute in Data Science
  • Cloud Environments in Data Science
  • Coding Environments in Data Science
  • Important Note! in Data Science
  • Introduction to Datasets in Data Science
  • BigQuery to Pandas in Data Science
  • Kaggle to Pandas in Data Science
  • Prototype Models in Data Science
  • Linear Regression in Data Science
  • Logistic Regression in Data Science
  • Keras Regression in Data Science
  • Automated Feature Engineering in Data Science
• Models as Web Endpoints in Data Science
  • Introduction to Models as Web Endpoints in Data Science
  • Web Services in Data Science
  • Echo Service in Data Science
  • Model Persistence in Data Science
  • Model Endpoints in Data Science
  • Deploying a Web Endpoint in Data Science
  • Gunicorn in Data Science
  • Heroku in Data Science
  • Interactive Web Services with Dash in Data Science
• Models as Serverless Functions in Data Science
  • Introduction to Models as Serverless Functions in Data Science
  • Managed Services in Data Science
  • Cloud Functions (GCP) in Data Science
  • Cloud Storage (GCS) in Data Science
  • Model Function in Data Science
  • Keras Model in Data Science
  • Access Control in Data Science
  • Model Refreshes in Data Science
  • Lambda Functions (AWS) in Data Science
  • Echo Function in Data Science
  • Simple Storage Service (S3) in Data Science
  • API Gateway in Data Science
• Containers for Reproducible Models in Data Science
  • Introduction to Containers as Reproducible Models in Data Science
  • Docker in Data Science
  • Orchestration in Data Science
  • AWS Container Registry (ECR) in Data Science
  • AWS Container Service (ECS) in Data Science
  • Load Balancing in Data Science
  • Kubernetes on GCP in Data Science
• Workflow Tools for Model Pipelines in Data Science
  • Introduction to Workflow Tools for Model Pipelines in Data Science
  • Sklearn Workflow in Data Science
  • Cron in Data Science
  • Workflow Tools in Data Science
  • Apache Airflow in Data Science
  • Managed Airflow in Data Science
• PySpark for Batch Pipelines in Data Science
  • Introduction to PySpark for Batch Pipelines in Data Science
  • Spark Environments in Data Science
  • Spark Clusters in Data Science
  • Databricks Community Edition in Data Science
  • Staging Data in Data Science
  • A PySpark Primer in Data Science
  • Persisting Dataframes in Data Science
  • Converting Dataframes in Data Science
  • Transforming Data in Data Science
  • Pandas UDFs in Data Science
  • Best Practices in Data Science
  • MLlib Batch Pipeline in Data Science
  • Model Application in Data Science
  • Distributed Deep Learning in Data Science
  • Distributed Feature Engineering in Data Science
  • GCP Model Pipeline in Data Science
  • BigQuery Export in Data Science
  • GCP Credentials in Data Science
  • Model Pipeline in Data Science
  • Productizing PySpark in Data Science
• Cloud Dataflow for Batch Modeling in Data Science
  • Introduction to Cloud Dataflow and Batch Modeling in Data Science
  • Apache Beam in Data Science
  • Batch Model Pipeline in Data Science
  • Model Training in Data Science
  • BigQuery Publish in Data Science
  • Datastore Publish in Data Science
• Streaming Model Workflows in Data Science
  • Introduction to Streaming Model Workflows in Data Science
  • Spark Streaming in Data Science
  • Apache Kafka in Data Science
  • Sklearn Streaming 1 in Data Science
  • Sklearn Streaming 2 in Data Science
  • Dataflow Streaming in Data Science
  • PubSub in Data Science
  • Natality Streaming in Data Science