Mistakes to Avoid in Machine Learning
With Brett Vanderblock and Madecraft
Liked by 287 users
Duration: 39m
Skill level: Intermediate
Released: 9/22/2020
Course details
Building machine learning models can be an exciting process. But oftentimes, data scientists find themselves dealing with errors, bad output, and a host of other issues that can slow their progress. In this fast-paced course, get expert tips on how to avoid some of the most common mistakes data scientists make when building machine learning models. Instructor Brett Vanderblock, the lead data scientist at Patagonia, shares his expertise to help you fine-tune your machine learning workflow. From working with bad data, to overfitting, to not getting feedback, there's lots to learn.
This course was created by Madecraft. We are pleased to host this training in our library.
This course was created by Madecraft. We are pleased to host this training in our library.
Skills you’ll gain
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Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructors
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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