- Responsible AI
- Unsupervised Learning
- Microsoft Azure
- Model Deployment
- Model Evaluation
- Regression Analysis
- Predictive Modeling
- Databricks
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Pipelines
- MLOps (Machine Learning Operations)
- Scikit Learn (Machine Learning Library)
Microsoft Azure Machine Learning for Data Scientists
Completed by David Camilo Cortes Salazar
June 10, 2024
10 hours (approximately)
David Camilo Cortes Salazar's account is verified. Coursera certifies their successful completion of Microsoft Azure Machine Learning for Data Scientists
What you will learn
Identify different kinds of machine learning models
How to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model
Create regression, classification, and clustering models using Azure Machine Learning designer
Use Azure Machine Learning to create and publish models without writing code
Skills you will gain
