In this course, you'll learn how to prepare, clean up, and engineer new features from the data with Azure Machine Learning, so the dataset can be represented in a form that's easy for the learning algorithm to learn the patterns.

This course covers important techniques in data preparation, data cleaning and feature selection that are needed to set your machine learning model up for success. You will also learn how to use imputation to deal with missing data and strategies for identifying and coping with outliers.

Data is at the heart of machine learning. This course will teach you how to bring data into Java from various sources, as well as how to perform basic tidying up and transformations in view of further processing by specialized Java ML libraries.

This course covers important steps in the pre-processing of data, including standardization, normalization, novelty and outlier detection, pre-processing image and text data, as well as explicit kernel approximations such as the RBF and Nystroem methods.

Data preparation can be time-consuming and error-prone. This course will teach you how to use Generative AI tools like ChatGPT and Claude to automate and enhance data preparation tasks, making your data analysis more efficient and reliable.

It's easy to run your apps in containers, but "docker run" isn't going to get you very far in production. This course will teach you all the best practices for packaging and running your apps with Docker, Docker Compose and Kubernetes.

Take your existing .NET framework applications and get them organized and ready to be included in a CI/CD pipeline by addressing package dependencies, configuration, and shared libraries, among other topics.

ISACA® certification holds extreme value but the exam presents its challenges. This course will teach you the exam process and provide you with tips to develop a study plan.

Dive into Pluralsight’s new, hands-on cloud labs experience with a demo and more from our product manager.

In this course, you will explore selecting the best meeting format given your objective and team situation, select virtual meeting tools to collaborate with global teams, and prepare to lead interactive meetings that are designed with engagement.

This course is for all COBIT® 5 Foundation certification candidates that want to fully understand the exam. You should take this course if you already studied COBIT® 5 and want to review its main concepts and get to know the exam in detail.

This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.