Pay What You Want: The Complete Machine Learning in Python Bundle

Pay What You Want: The Complete Machine Learning in Python Bundle

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4 Hours
Deal Price$1.00
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$99.99
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Pay What You Want: The Complete Machine Learning in Python Bundle
$1.00$99.9999% OFF
An Easy Introduction To Recommendation Systems

20 Lessons (4h)

  • Would You Recommend To A Friend?
    You, This Course, and Us!1:38
    What do Amazon and Netflix have in common?16:43
    Recommendation Engines - A look inside10:45
    What are you made of? - Content-Based Filtering13:35
    With a little help from friends - Collaborative Filtering10:26
    A Neighbourhood Model for Collaborative Filtering17:51
    Top Picks for You! - Recommendations with Neighbourhood Models9:42
    Discover the Underlying Truth - Latent Factor Collaborative Filtering20:13
    Latent Factor Collaborative Filtering contd.12:09
    Gray Sheep and Shillings - Challenges with Collaborative Filtering8:12
    The Apriori Algorithm for Association Rules18:31
  • Recommendation Systems in Python
    Installing Python - Anaconda and Pip9:00
    Back to Basics : Numpy in Python18:06
    Back to Basics : Numpy and Scipy in Python14:19
    Movielens and Pandas16:45
    Code Along - What's my favorite movie? - Data Analysis with Pandas6:18
    Code Along - Movie Recommendation with Nearest Neighbour CF18:10
    Code Along - Top Movie Picks (Nearest Neighbour CF)6:16
    Code Along - Movie Recommendations with Matrix Factorization17:55
    Code Along - Association Rules with the Apriori Algorithm9:51
Pay What You Want: The Complete Machine Learning in Python Bundle
$1.00$99.9999% OFF
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DescriptionInstructorImportant DetailsRelated Products

See How Today's AI Innovations Tick with 8 Courses on Python, TensorFlow & More

L
Loonycorn

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Description

From suggested Facebook friends to recommended videos on Netflix, it's scary how accurate these systems can be; but they're not powered by magic. This course peels back the curtain on the technology that drives these programs. Using Python, you'll discover what goes into designing and implementing recommendation systems and explore the different ways they curate content.

  • Access 20 lectures & 4 hours of content 24/7
  • Identify use-cases for recommendation systems
  • Design & implement recommendation systems in Python
  • Discover the different means of filtering content

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: basic

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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