Coursera MOOC / Non-credit 0

Mastering Recommendation Systems with Python

Name: Mastering Recommendation Systems with Python
Price: 49 USD
Availability: InStock

About this course

This Specialization equips learners with practical skills to design and implement robust recommendation systems using Python. Spanning foundational techniques to hybrid models, it covers collaborative filtering, content-based filtering, and real-world deployment strategies using libraries like Surprise, Pandas, and Scikit-learn. Learners will explore use cases like movie and book recommenders, applying best practices from real-world platforms.

60/100

CourseAsk score

What the provider tells you: 24/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Design recommendation systems using collaborative filtering
Implement content-based filtering techniques
Utilize libraries like Surprise, Pandas, and Scikit-learn
Deploy recommendation models in real-world applications

Machine Learning #python #scikit-learn #pandas #machine learning #recommendation systems #data science #real-world applications #content-based filtering #collaborative filtering #surprise

$49.00

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