Building Recommendation Engines in Python, Short Course | Part time online | Data Camp | United States
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Short Online

Building Recommendation Engines in Python

1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

By the end of this Building Recommendation Engines in Python course at Data Camp, you’ll have built your very own movie recommendation engine and be able to apply your Python skills to create these systems for any industry.

Overview

Context

We’ve come to expect personalized experiences online—whether it’s Netflix recommending a show or an online retailer suggesting items you might also like to purchase. But how are these suggestions generated?

In this Building Recommendation Engines in Python course at Data Camp, you’ll learn everything you need to know to create your own recommendation engine.

Through hands-on exercises, you’ll get to grips with the two most common systems, collaborative filtering and content-based filtering.

Next, you’ll learn how to measure similarities like the Jaccard distance and cosine similarity, and how to evaluate the quality of recommendations on test data using the root mean square error (RMSE).

Programme Structure

Chapters

  • Content-Based Recommendations
  • Collaborative Filtering
  • Matrix Factorization and Validating Your Predictions

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES

  • Supervised Learning with scikit-learn
  • Data Manipulation with pandas

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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