Python Linear Regression Example. From sklearn model selection import train test split x train x test y train y test train test split diabetes data diabetes target test size 0 2 random state 0. From sklearn import datasets linear model import pandas as pd load csv and columns df pd read csv housing csv y df price x df lotsize x x reshape len x 1 y y reshape len y 1 split the data into training testing sets x train x 250 x test x 250 split the targets into training testing sets y train y 250 y test y 250.
From sklearn import datasets linear model import pandas as pd load csv and columns df pd read csv housing csv y df price x df lotsize x x reshape len x 1 y y reshape len y 1 split the data into training testing sets x train x 250 x test x 250 split the targets into training testing sets y train y 250 y test y 250. Y β 0 β 1 x 1 ε. Fitting the linear regression model to the training set.
X is an independent variable.
1 2 4 5 5 6 6 7 8 10 11 11 12 12 14 score. Linear regression example the example below uses only the first feature of the diabetes dataset in order to illustrate the data points within the two dimensional plot. X is an independent variable. Let s see what these values mean.
