Azure Data Scientist Associate: Project Jupyter & Notebooks

Azure 2021    |    Intermediate
  • 11 videos | 1h 33m 15s
  • Includes Assessment
  • Earns a Badge
Likes 9 Likes 9
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 course
    describe project Jupyter and how it is used for machine learning
    describe Jupyter Notebooks and how they are used by data scientists to perform data analysis
    create a compute instance in Azure Machine Learning Studio and clone the ml-basics repository
    use a Jupyter Notebook to perform basic data analysis
    use a Jupyter Notebook to create a regression model
  • use a Jupyter Notebook to create a classification model
    use a Jupyter Notebook to create a clustering model
    use a Jupyter Notebook to perform deep learning using PyTorch
    use a Jupyter Notebook to perform deep learning using TensorFlow
    summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 33s
  • 5m 54s
  • Locked
    3.  Jupyter Notebooks
    7m 58s
  • Locked
    4.  Installing Jupyter Notebook
    8m 13s
  • Locked
    5.  Using a Jupyter Notebook for Data Analysis
    13m 22s
  • Locked
    6.  Using a Jupyter Notebook for Regression Models
    11m 24s
  • Locked
    7.  Using a Jupyter Notebook for Classification Models
    9m 48s
  • Locked
    8.  Using a Jupyter Notebook for Clustering Models
    9m 42s
  • Locked
    9.  Using a Jupyter Notebook with PyTorch
    12m 25s
  • Locked
    10.  Using a Jupyter Notebook with TensorFlow
    12m 11s
  • Locked
    11.  Course Summary
    45s

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