Building Machine learning model using AWS Sagemaker notebook | by Sarayavalasaravikiran | AI Simplified in Plain English | May, 2025

Predict the standard of wine based mostly on its chemical properties utilizing a dataset (just like the Wine High quality Dataset from UCI). We’ll use AWS SageMaker for coaching and deployment, and MLflow to trace experiments.

Predict the standard of wine based mostly on its chemical properties utilizing a dataset (just like the Wine High quality Dataset from UCI). We’ll use AWS SageMaker for coaching and deployment, and MLflow to trace experiments.

1. AWS Account Setup
2. Login to AWS Console
3. Create IAM Position
4. Begin Amazon SageMaker Pocket book
5. Add Dataset
6. Information Preprocessing
7. Prepare Mannequin with MLflow Monitoring
8. Consider Mannequin
9. Deploy Mannequin
10. Check Mannequin with API

You’ll want a dad or mum/guardian that will help you join at https://aws.amazon.com

1. Go to https://aws.amazon.com
2. Click on Create an AWS Account
3. Fill in your particulars (chances are you’ll want a bank card, however we are going to solely use free tier companies)