This 1-hour self-paced course is designed to provide participants with a solid foundation in using Python for Machine Learning and Artificial Intelligence (AI). The course covers essential Python concepts and libraries commonly used in ML and AI projects. Participants will learn how to apply Python to perform data manipulation, implement machine learning algorithms, and create AI models. The course includes hands-on exercises and practical examples to reinforce the learning experience.
Note: This course is designed as a self-paced learning experience, allowing participants to complete the content at their own pace within the allotted time.
Professionals or students interested in Machine Learning and Artificial Intelligence
Python developers looking to apply Python in ML and AI projects
Data scientists or analysts aiming to enhance their Python skills for ML and AI tasks
Apache, Apache Kafka, Apache Spark, Apache Trino, Apache Iceberg, Apache Hive, Kafka, Spark, Trino, Iceberg, Hive, and other associated open-source project names are the Apache Software Foundation trademarks. Starburst, Starburst Data, Starburst Enterprise, and Starburst Galaxy are registered trademarks of Starburst Data, Inc. All rights reserved. DataCouch is not affiliated with, endorsed by, or otherwise associated with the Apache Software Foundation (ASF) or any of its projects.
we'd love to have your feedback on your experience so far