From the course: 15 Mistakes to Avoid in Data Science

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Skipping the fundamentals

Skipping the fundamentals

From the course: 15 Mistakes to Avoid in Data Science

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Skipping the fundamentals

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- Hi, my name's Sam Cvetkovski. I'm the Manager of Data Science at Mindbody. So one of the most common mistakes I do see in data science is rushing to the really complex parts or not doing the basics or not doing those easy things first. And when I say easy things, it's getting your data together and it's visualizing. What does it look like? A lot of times we get stuck with is trying to rush to building this really cool neural network model on data, and we don't even know what's in there. So don't skip the simple things, clean your data, graph it. Look at a histogram, look at a box plot. What does it look like? Do I have missing values? What do I do with those missing values? Again, it's the simple things that will make the rest of your modeling that much easier, because if you get too far into the weeds, you can't go back and fix that data. I mean, you can, but you're just redoing your work over and over again at that…

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