From the course: Data Science Foundations: Data Assessment for Predictive Modeling

Why data assessment is critical

From the course: Data Science Foundations: Data Assessment for Predictive Modeling

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Why data assessment is critical

- [Instructor] You can't properly model your data before you prepare it, and you can't properly prepare it before you perform the analyses that we will review in this course. My name is Keith McCormick, and I've been building predictive models for 25 years. Even though I've had a ton of experience doing this stuff, I've had to learn the hard way that before I can begin modeling, I have to make sure that I fully assess the data with which I'm working. I've learned that careful work is ultimately the fastest and most productive way. And in this course, I tell you exactly what to do. Each dataset is different, so I can't give you a step by step recipe. There is no such thing. But I can give you a set of principles, guidelines, and tools to properly assess a dataset for its suitability for machine learning models. And hopefully pass on some of the wisdom I've picked up along the way so that you can learn from my mistakes and my experience, rather than have to figure it out, trial and error on your own. This is a neglected topic, rarely presented in this depth. So I hope that you're excited for our journey together, let's get started.

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