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Instructor
Lessons
17

Ending In:
access
Lifetime
content
2.0 Hours

Description

Classification models play a key role in helping computers accurately predict outcomes, like when a banking program identifies loan applicants as low, medium, or high credit risks. This course offers an overview of machine learning with a focus on implementing classification models via Python's scikit-learn. If you're an aspiring developer or data scientist looking to take your machine learning knowledge further, this course is for you.

  • Access 17 lectures & 2 hours of content 24/7
  • Tackle basic machine learning concepts, including supervised & unsupervised learning, regression, and classification
  • Learn about support vector machines, decision trees & random forests using real data sets
  • Discover how to use decision trees to get better results

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
2.0 Hours