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Machine Learning in Practice

It’s a practical course in machine learning. This course covers the entire lifecycle of the solution – from initial data capture (“.csv file”) through building a model to explaining data and outcomes to the customer. The theory on classification, regression, predictions, and ensembles – is provided to the extent required for the correct understanding of discussed cases and building solutions for them.

Duration

duration
24 hours

Price

price
€ 650

Additional information

  • Online format
    Online
  • English Language
    English
Machine learning fundamentals

Machine learning fundamentals

Gain a solid foundation in machine learning with our "Machine Learning Fundamentals" course. Explore essential ML concepts, algorithms, and practical tools like Spark MLLib and Spark ML. Perfect for aspiring data scientists and engineers looking to apply ML techniques in real-world scenarios.

Duration

duration
24 hours

Price

price
€ 650

Additional information

  • Online format
    Online
  • English Language
    English
Introduction to Test Metrics

Introduction to Test Metrics

This course provides a comprehensive introduction to test metrics, covering essential concepts and practical applications. Participants will learn to manage testing activities, evaluate project progress, and ensure software quality using various metrics. Ideal for test managers and QA professionals, this course equips you with the knowledge to integrate and verify metrics effectively.

Duration

duration
4 hours

Price

price
€ 350

Additional information

  • Online format
    Online
  • English Language
    English