- environment pipeline
- data preparation
- modelling
- deployement
- evaluation
- prediction
- get aws role
- region and other aws configuational artifacts
upload the raw data to S3 bucket
sagemaker conatiner based training read data only from S3
train sagemaker based xgboost model
Deploy the xgboost model as an endpoint
Mention:
- instance_type : 'ml.m4.xlarge'
- initial_instance_count : 1 After this step we have successfully deployed ML model as an Endpoint
- generate confusion martrix
- Pr curve
Predict using endpoint