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Building real world song recommendation engine with python

Building real world song recommendation engine with python
best udemy course Building real world song recommendation engine with python
Building real world song recommendation engine with python. Using item based collaborative filtering to find similar songs. Rating: 5.0 out of 55.0 ...
by Evergreen Technologies

What you'll learn

  • At the end of my course students will be able to use the collaborative filtering to recommend music

Description
Course Description

Learn to build recommendation engine with Collaborative filtering and  popular programming language Python.

  • Build a strong foundation in Recommendation Systems with this tutorial for beginners.
  • Understanding of recommendation systems
  • Leverage Collaborative filtering to classify documents
  • User Jupyter Notebook for programming
  • Use singular value decomposition (SVD) for recommendation engine

A Powerful Skill at Your Fingertips  Learning the fundamentals of recommendation system puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

Jobs in recommendation systems area are plentiful, and being able to learn Collaborative filtering and SVD will give you a strong edge.

Recommendation Systems ares becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of recommendation systems in action. Recommendation Systems are vital in information retrieval, upselling and cross selling of products.  Learning Collaborative filtering with SVD will help you become a recommendation system developer which is in high demand.

Big companies like Google, Facebook, Microsoft, AirBnB and Linked In already using recommendation systens with item based collaborative in information retrieval and social platforms. They claimed that using recommendation systems has boosted productivity of entire company significantly.
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