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  01 - Introduction

   01 - Tips for the Azure DP-100 exam.srt

   02 - DP-100 overview.srt

   03 - What you should know.srt

  02 - 1. Creating Machine Learning Models

   01 - Create machine learning models Domain overview.srt

   02 - Data exploration and analysis using Python.srt

   03 - What are machine learning models.srt

   04 - Understanding the types of machine learning models.srt

   05 - Machine learning model training and evaluation.srt

  03 - 2. Using Visual Tools to Create Machine Learning Models with Azure Machine Learning

   01 - ML model creation with visual tools Domain overview.srt

   02 - Understanding automated machine learning.srt

   03 - Understanding Azure Machine Learning designer.srt

   04 - Train and evaluate models with Azure Machine Learning designer.srt

  04 - 3. Building and Operating Machine Learning Solutions with Azure Machine Learning

   01 - ML solutions with Azure Machine Learning Domain overview.srt

   02 - Introduction to the Azure Machine Learning SDK.srt

   03 - Working with data in Azure Machine Learning.srt

   04 - Training a machine learning model.srt

   05 - Machine learning at scale.srt

   06 - Understanding hyperparameters.srt

   07 - Understanding privacy and ethics in Azure Machine Learning.srt

   08 - Understanding model predictions.srt

   09 - Monitoring and security in Azure Machine Learning.srt

  05 - 4. Building and Operating Machine Learning Solutions with Azure Databricks

   01 - ML solutions with Azure Databricks Domain overview.srt

   02 - Introduction to Azure Databricks.srt

   03 - Preparing and working with data.srt

   04 - Training, managing, and deploying models in Azure Databricks.srt

   05 - Tracking experiments in Azure Databricks.srt

   06 - Tuning hyperparameters in Azure Databricks.srt

   07 - Distributed deep learning.srt

  06 - Conclusion

   01 - Additional resources for DP-100 preparation.srt

   02 - Tips for exam day.srt