Learn about the common mistakes you should avoid when building your machine learning models.
- Remember in "The Goonies", when the crew has to sidestep all of the traps and pitfalls to get to the treasure? That's a bit of what it's like to work in machine learning. In this course, I want to give you the map to avoid these common mistakes and keep you on the path to success. I want to help you create high-quality and successful machine learning models without all of the rework. I'm Brett Vanderblock, data scientist at Patagonia, and I've been there and made just about all the mistakes you can make. But I learned and progressed and delivered high-quality machine learning models in a variety of industries like software and apparel. In this course, I'm going to teach you how to avoid overfitting your models, give you tips for how to properly evaluate your results, and advise you on how to deploy your successful models quickly and efficiently. I'll also give you my tips for how to communicate with your customers and ensure they are happy and ultimately, show your value to the business. The rapid developments in machine learning make data science an exciting career. But with rapid advancements, you need to keep your wits about you to create successful models. So if you're ready to conquer the common mistakes in machine learning, let's dive in.
This course was created by Madecraft. We are pleased to host this training in our library.