Azure Data Scientist Associate: Project Jupyter & Notebooks
Azure 2021 | Intermediate
- 11 videos | 1h 33m 15s
- Includes Assessment
- Earns a Badge
Data scientists spend a majority of their time exploring and analyzing data, which may become the foundation for a machine learning model. The Azure Machine Learning Studio provides Jupyter Notebooks that can be used to perform data analysis. In this course, you'll learn about project Jupyter and how it is used for by data scientists to perform data analysis. You'll explore how to create a compute instance in Azure Machine Learning Studio and clone a sample training repository. Next, you'll learn how to use a Jupyter Notebook to perform basic data analysis and , create a regression model, classification model, and clustering model. Finally, you'll examine how to use Jupyter Notebook to perform deep learning using PyTorch and perform deep learning using TensorFlow. This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursedescribe project Jupyter and how it is used for machine learningdescribe Jupyter Notebooks and how they are used by data scientists to perform data analysiscreate a compute instance in Azure Machine Learning Studio and clone the ml-basics repositoryuse a Jupyter Notebook to perform basic data analysisuse a Jupyter Notebook to create a regression model
use a Jupyter Notebook to create a classification modeluse a Jupyter Notebook to create a clustering modeluse a Jupyter Notebook to perform deep learning using PyTorchuse a Jupyter Notebook to perform deep learning using TensorFlowsummarize the key concepts covered in this course
IN THIS COURSE
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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