Machine Learning Essentials: Build Intelligent Models

Machine Learning Essentials: Build Intelligent Models

Master Core Machine Learning Skills To Build Real World Intelligent Systems



Sub Category

  • Data Science

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Objectives

  • Understand the fundamentals of machine learning and its real-world applications
  • Learn key ML concepts such as features, labels, training, and evaluation
  • Explore supervised and unsupervised learning techniques
  • Build and train machine learning models step by step
  • Evaluate model performance using common metrics
  • Work with real-world datasets to gain practical experience
  • Understand common challenges and best practices in machine learning


Pre Requisites

  1. Basic programming knowledge is helpful but not required
  2. No prior machine learning experience needed


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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