Microsoft - Create Machine Learning Models in Microsoft Azure
- Offered byCoursera
Create Machine Learning Models in Microsoft Azure at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Create Machine Learning Models in Microsoft Azure at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to the schedule
- Earn a certificate upon completion from Coursera
Create Machine Learning Models in Microsoft Azure at Coursera Course details
- Machine learning is the foundation for predictive modeling and artificial intelligence
- If students 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 them
- In this course, students 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 designed to prepare them for roles that include planning and creating a suitable working environment for data science workloads on Azure
Create Machine Learning Models in Microsoft Azure at Coursera Curriculum
Explore data and create models to predict numeric values
Introduction to the course
Exam DP-100: Designing and Implementing a Data Science Solution on Azure certification
Lesson introduction
Lesson summary
Lesson introduction
What is regression?
Lesson summary
Course syllabus
Exam DP-100: ?Skills Measured
How to be successful in this course
Explore data with NumPy and Pandas
Exercise - Explore data with NumPy and Pandas
Visualize data
Exercise - Visualize data with Matplotlib
Examine real world data
Exercise - Examine real world data
Exercise - Train and evaluate a regression model
Discover new regression models
Exercise - Experiment with more powerful regression models
Improve models with hyperparameters
Exercise - Optimize and save models
Exercise Quiz
Exercise Quiz
Exercise Quiz
Knowledge check
Exercise quiz
Exercise quiz
Exercise Quiz
Knowledge check
Test prep
Train and evaluate classification and clustering models
Lesson introduction
What is classification?
Evaluate classification models
Lesson summary
Lesson introduction
What is clustering
Lesson summary
Exercise - Train and evaluate a classification model
Exercise - Perform classification with alternative metrics
Create multiclass classification models
Exercise - Train and evaluate multiclass classification models
Exercise - Train and evaluate a clustering model
Evaluate different types of clustering
Exercise - Train and evaluate advanced clustering models
Exercise quiz
Exercise Quiz
Exercise Quiz?
Knowledge check
Exercise quiz
Exercise quiz
Knowledge check
Test prep
Train and evaluate deep learning models
Lesson introduction
Deep neural network concepts
Lesson summary
Lesson introduction
Layers in a convolutional neural network
Transfer learning
Lesson summary
Course wrap up
Exercise - Train a deep neural network
Exercise - Train a convolutional neural network
Exercise - Use transfer learning
What to expect next
Exercise quiz
Knowledge check
Exercise quiz
Exercise quiz
Knowledge check
Test prep