Microsoft
Create Machine Learning Models in Microsoft Azure
Microsoft

Create Machine Learning Models in Microsoft Azure

 Microsoft

Instructor: Microsoft

28,778 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.5

(258 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 12 hours
Learn at your own pace
92%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.5

(258 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 12 hours
Learn at your own pace
92%
Most learners liked this course

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

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Assessments

8 quizzes, 15 assignments

Taught in English

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Build your Software Development expertise

This course is part of the Microsoft Azure Data Scientist Associate (DP-100) Exam Prep 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 readings3 quizzes6 assignments1 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 readings2 quizzes6 assignments

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 readings3 quizzes3 assignments1 discussion prompt

Instructor

Instructor ratings
4.6 (65 ratings)
 Microsoft
Microsoft
174 Courses1,002,982 learners

Offered by

Microsoft

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Learner reviews

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4.5

258 reviews

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SA
5

Reviewed on Feb 7, 2023

DW
5

Reviewed on Dec 3, 2023

FM
4

Reviewed on Apr 27, 2023

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