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Harley Oxford Machine Learning Bundle Harley Oxford
  • Duration / Course length: Upto 20 Hours Start now
  • Accrediting country: UK
  • Accrediting body: CPD GroupCPD Standards Office
  • Certificates:

Course details

This brilliant-value training bundle contains four fantastic courses that have been expertly put together to introduce you to machine learning and equip you with the essential skills to master this useful technology in terms of both theory and practice. At the end of the 20 hours of easy-to-engage with training, you’ll be confident when it comes to building your own sentiment analyser, recommendation system and much more.

This course covers:
  • Learn to install Python and use it to build your own sentiment analyser, recommendation system and more.
  • Discover core machine learning concepts.
  • Find out how to build an artificial neural network.
  • Explore how to build a movie recommendation system in Python.
  • Use a classic problem to learn intuitive machine learning techniques.
  • Understand how to use Python and the Twitter API to build a sentiment analyser.
Updated on 15 January, 2019

About Harley Oxford

With over 100,000 learners and over 1000 courses, Harley Oxford is one of the leading providers offering online courses.

Interested in learning a new skill or hobby?

  • Harley Oxford courses are accessible from anywhere in the world
  • Each course is compatible with computers, laptops, tablets and most smartphones
  • Each course comes with a course tutor 
  • Access FREE CV support and job tips


Study a Harley Oxford course at your own pace, from the comfort of your own home, and work towards industry recognised awards that will add value to your CV.

With our range of courses always growing, it is safe to say that at Harley Oxford we have a passion for learning, and that is why we will always go that extra mile for you as well as making sure that you get the best customer services available. If you want to learn more about a course or if you want to find out what course is right for you, let us know.

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