Microsoft
Create Machine Learning Models in Microsoft Azure
Microsoft

Create Machine Learning Models in Microsoft Azure

This course is part of Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

Taught in English

Some content may not be translated

 Microsoft

Instructor: Microsoft

21,293 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(191 reviews)

Intermediate level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • How to plan and create a working environment for data science workloads on Azure

  • How to run data experiments and train predictive models

Details to know

Shareable certificate

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Assessments

23 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(191 reviews)

Intermediate level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Software Development expertise

This course is part of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Microsoft
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There are 3 modules in this course

Data exploration and analysis is at the core of data science. Data scientists require skills in languages like Python to explore, visualize, and manipulate data. n this module, you will learn how to use Python to explore, visualize, and manipulate data.You will also learn how regression can be used to create a machine learning model that predicts numeric values. You will use the scikit-learn framework in Python to train and evaluate a regression model.

What's included

7 videos14 readings9 quizzes1 discussion prompt

Classification is a kind of machine learning used to categorize items into classes. In this module, you will learn how classification can be used to create a machine learning model that predicts categories, or classes. You will use the scikit-learn framework in Python to train and evaluate a classification model. You will also learn how clustering can be used to create unsupervised machine learning models that group data observations into clusters. You will use the scikit-learn framework in Python to train a clustering model.

What's included

7 videos7 readings8 quizzes

In this module, you will learn about the fundamental principles of deep learning, and how to create deep neural network models using PyTorch or Tensorflow. You will also explore the use of convolutional neural networks to create image classification models.

What's included

8 videos4 readings6 quizzes1 discussion prompt

Instructor

Instructor ratings
4.6 (53 ratings)
 Microsoft
Microsoft
67 Courses614,334 learners

Offered by

Microsoft

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4.6

191 reviews

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JK
5

Reviewed on Feb 20, 2022

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5

Reviewed on Feb 7, 2023

NG
5

Reviewed on Jan 13, 2022

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