Get $1 credit for every $25 spent!
Get $1 credit for every $25 spent!
$14.99 $99.99 85% off wishlist
ADD TO CART
Add to Cart ($14.99)

Instructor
Lessons
20

Ending In:
access
Lifetime
content
4 Hours

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

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.

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

Requirements

  • Internet required

Terms

  • Unredeemed licenses can be returned for store credit within 15 days of purchase. Once your license is redeemed, all sales are final.
access
Lifetime
content
4 Hours