From the course: Artificial Intelligence Foundations: Neural Networks

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Solution: Build a neural network

Solution: Build a neural network

(upbeat music) - [Instructor] Well, I hope you enjoyed that challenge. Let's now take a look at the solution. What we're going to do is just run through the cells one by one and see the output. So first we need to import our necessary libraries. Then we need to grab our data from the GitHub repo, put that into a pandas data frame. And then we're using the pandas info function to get a concise summary of the data frame. And now we want to get some summary statistics of the data. And here we're just looking to see the shape of the data frame. And in this cell, we're really just using the is null method to check and see if there are any null values. So let's do a little bit of exploratory data analysis. So here we're just going to plot the heat map so that the values are shown. And here we're going to use a correlation matrix. And then down here we're going to have another correlation matrix but this time in table form.…

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