Azure Databricks Auto ML
Published in
May 31, 2021
Using AutoML feature in Azure Data Bricks
Requirements
- Azure account
- Azure Storage account
- Azure Databricks
- Data set used is titanic open source data set
Steps
- Create a cluster with 8.3beta ML runtime
- Wait for cluster to start
- Once Started then you can see the data
- Create a new Experiment
- Now configure the ML type as classification
- Browse Table and select default and then select titanictbl
- To create a table upload titanic.csv file into a table called titanictbl
- Data is available in data\titanic.csv
- Advanced features
- Run the experiment
- List all the model run
- Best model
- Data work book — feature engineering
- Correlations