- Artificial Intelligence and Machine Learning (AI/ML)
- Data Pipelines
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Regression Analysis
- Databricks
- Microsoft Azure
- Machine Learning
- Unsupervised Learning
- Responsible AI
- MLOps (Machine Learning Operations)
- Predictive Modeling
Microsoft Azure Machine Learning for Data Scientists
Completed by Sergio García Heredia
August 29, 2024
10 hours (approximately)
Sergio García Heredia'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
