Regression

Having mastered many of the key machine learning concepts in the Classification section, in this section, we will apply what we have learned to a regression problem. We will be using a dataset containing information about groups of houses in different locations in California^[4]. Our goal will be to predict the median house price in each group using input data such as the latitude/longitude location, median house size, age, and so on.

Use the download-housing.sh script to download the dataset and then load it into Go:

import (
    "fmt"
    "github.com/kniren/gota/dataframe"
    "github.com/kniren/gota/series"
    "math/rand"
    "image"
    "bytes"
    "math"
    "github.com/gonum/stat"
    "github.com/gonum/integrate"
    "github.com/sajari/regression"
    "io/ioutil&quot...