Model Training and Interpretation (5/5)

Unlock the full self-paced class from Databricks Academy! Introduction to Data Science and Machine Learning (AWS Databricks) https://academy.databricks.com/course/SP860 Introduction to Data Science and Machine Learning (Azure Databricks) https://academy.databricks.com/course/SP860-Az Conor completes the end-to-end machine learning pipeline by training models on the full Pipelines developed throughout this series. He also shows how to use performance metrics to assess the performance of these Pipelines. Having selected a final model, Conor demonstrates how to save the model for later use. Note: at 5:06 he mentions saving to "MLeap" -- not "Emily," as shown in the graphic. Download the code here: https://files.training.databricks.com/classes/ml/ml-on-spark.dbc Don't have a Databricks Account? Sign up for Community Edition: https://databricks.com/try-databricks This is Part 5 of our Introduction to Machine Learning Video Series: https://www.youtube.com/playlist?list=PLroeQp1c-t3pT3_d6JmjVnBdOKpyeQtQr