
Take a quick tour in Azure ML Studio.
Where to find Azure ML Samples published
Learn how to upload a new dataset to Azure Machine Learning Studio from your local machine
Create your first Azure ML expirement, and learn how to upload an online dataset.
Create your first Azure ML experience, upload a local dataset then convert it into a ML dataset.
Clean, transform, and normalize your data.
Join weather and planes data in Azure Machine Learning by selecting join keys (year, month, day, airport id, departure time) and split the merged data to prepare flight delay predictions.
Explore a free machine learning cheat sheet to help you select Azure Machine Learning algorithms for regression, classification, clustering, and anomaly detection based on your data and prediction goals.
Explore how to work with two datasets, split data, train models, and visualize decision trees in Azure machine learning for analysis across experiments.
Publish your Azure ML experiment to the Azure AI Gallery by providing a name, summary, and description. Browse published models, download them, and adapt examples for your project.
Are you passionate about Machine Learning and AI? Are you looking to find your first steps into Data Science. This course starts from scratch with Azure Machine Learning and lands in decision trees.
I will walk you through the Azure ML Studio, how to create expirements, how to add datasets, how to add algorithms and predict values.
This course does not cover any coding with R or Python, this will be published in a different course.