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.
Create Machine Learning Models in Microsoft Azure
This course is part of Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate Professional Certificate
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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
Skills you'll gain
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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
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