- Supervised Learning
- Unsupervised Learning
- Responsible AI
- Machine Learning
- MLOps (Machine Learning Operations)
- Model Evaluation
- Scikit Learn (Machine Learning Library)
- Data Pipelines
- Artificial Intelligence and Machine Learning (AI/ML)
- Regression Analysis
- Virtual Machines
- Model Deployment
Microsoft Azure Machine Learning for Data Scientists
Completed by Amela Saric-Babin
June 27, 2023
10 hours (approximately)
Amela Saric-Babin'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
