From the course: Applied Machine Learning: Value Estimation

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Data exploration and cleaning

Data exploration and cleaning

From the course: Applied Machine Learning: Value Estimation

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Data exploration and cleaning

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- [Instructor] Let's explore the data. We're going to be using a data set called the Ames Iowa Housing Data Set. This is a data set that has a bunch of houses from different neighborhoods in Ames, Iowa, with the associated price for the house. So what we're going to try and do is see if we can predict the price given the features for a house. Now make sure that you have the virtual environment active here. You can click up here. If this does not say .vm, they should have the option to select a Python environment. It will look like this, Python environments, and we just click this one as star. Okay, let's run our code here. I'm just going to run this first cell. Now, the first time you run this it will take a while to import Pandas, but after the first load it should be quick. Okay, it looks like that worked. I'm loading the Pandas library, the NumPy library, and Matplotlib. Let's load our data set here. I've got that hosted on my GitHub. This is what it looks like. Like I said, we've…

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