Quickly Learn to Make a Recommendation Engine in Python [Course]

Ever wanted to learn to make a recommendation engine in Python? I mean, recommendation engines are a seriously valuable data science product. Just ask NetFlix and Amazon! They’ve made cargo ships of cash off these quirky little contraptions. They’re actually not all that complicated to make either, but there aren’t that many courses out there to show you how. That’s one reason I thought it was important to make my latest LinkedIn Learning course, called Introduction to Python Recommendation Systems.

Welcome from Introduction to Python Recommendation Systems for Machine Learning by Lillian Pierson, P.E.

In this course, you’ll discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations. In this hands-on course, I cover the different types of recommendation systems out there, and, for each type, I show you how to make a recommendation engine in Python. I also teach you the concepts behind how recommendation systems work by taking you through a series of examples and exercises.

Once you’re familiar with the underlying concepts, I explain how to apply statistical and machine learning methods to construct your own recommenders. You’ll see how to:

  • Build a popularity-based recommender using the Pandas library
  • How to recommend similar items based on correlation, and
  • How to deploy various machine learning algorithms to make recommendations

At the end of the course, you’ll see how to evaluate which recommender performed the best. Don’t spend days hitting your head against a brick wall trying to figure out how to build a recommendation engine in Python! Instead, let me show you how in this short 1.5 hour course.

Wait, there’s more… How interested are you in building out your career in data? If your passionate about the field and your career, then make sure to sign-up for my weekly newsletter! You’ll get emails with tips that are helpful to your career advancement and skill development. You can sign-up in the box below.

Lillian Pierson, P.E.

Lillian Pierson is a CEO & data leader that supports data professionals to evolve into world-class leaders & entrepreneurs. To date, she’s helped educate over 1.3 million data professionals on AI and data science. Lillian has authored 6 data books with Wiley & Sons Publishers as well as 8 data courses with LinkedIn Learning. She’s supported a wide variety of organizations across the globe, from the United Nations and National Geographic, to Ericsson and Saudi Aramco, and everything in between. She is a licensed Professional Engineer, in good standing. She’s been a technical consultant since 2007 and a data business mentor since 2018. She occasionally volunteers her expertise in global summits and forums on data privacy and ethics.

This Post Has 8 Comments

  1. sumon

    This is awesome to learn python for Data science.
    Thanks,
    Lillian Pierson, P.E.

    1. Carlos Collao

      I would be really happy If I have the opportunity to get it.
      Best regards,
      Carlos Peru

  2. Aditi

    Really looking forward to this course!

  3. Rohith Solomon

    My one-stop shop to learn data science 🙂 Thank you!

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