As per your team needs
This course has been designed and developed for providing a quick background in making data useful for Machine learning in a pragmatic way. It provides hands-on experience in Data Manipulation, Processing, Feature Engineering, Handling Missing Data, Outliers Detection, Data Encoding, Data Skew, Analysis and Modeling using Python programming language. The course also focuses on Machine Learning Pipeline and on a few Machine Learning algorithms and their implementations.
Attendees should preferably have basic knowledge of Unix commands and Basic Programming Knowledge of Python.
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.