Loading data

In order to build a learning model, we need data that's representative of the world. Now that we have installed the necessary Python packages, let's see how to use the packages to interact with data. Enter the Python command prompt by typing the following command:

$ python3

Let's import the package containing all the datasets:

>>> from sklearn import datasets

Let's load the house prices dataset:

>>> house_prices = datasets.load_boston()

Print the data:

>>> print(house_prices.data)

You will see an output similar to this:

Figure 9: Output of input home prices

Let's check out the labels.

You will see this output:

Figure 10: Output of predicted home prices

The actual array is larger, so the image represents the first few values in that array.

There are also image datasets available in the scikit-learn package. Each image is of shape 8×8. Let's load it:

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