Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.
This course is part of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
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About this Course
Knowledge of basic mathematical concepts is important and some experience with Python is also beneficial.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
How to plan and create a working environment for data science workloads on Azure
How to run data experiments and train predictive models
Skills you will gain
- Modeling
- Microsoft Azure
- Machine Learning
- Experiment
Knowledge of basic mathematical concepts is important and some experience with Python is also beneficial.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Explore data and create models to predict numeric values
Train and evaluate classification and clustering models
Train and evaluate deep learning models
Reviews
- 5 stars70.94%
- 4 stars23.93%
- 3 stars2.56%
- 2 stars1.70%
- 1 star0.85%
TOP REVIEWS FROM CREATE MACHINE LEARNING MODELS IN MICROSOFT AZURE
Awesome course and instructor was great in delivering content
Great course with lots of insights. Definetly worth it!
This course is very easy to understand and have a great value for new data science professionals. To the point explanations and engaging content by team Microsoft.
About the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

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