Simple Leaner Regression Model is use to find the relation ship between two variable. It is commonly used in the predict analysis. Suppose we want to know price of pizza on the basis of size. We will train a model on the different size of pizza and its price. Then we will give the size of the pizza to train model it will predict its price. suppose we have different size of pizza x = [[6], [8], [10], [14], [18]]] and its price y = [[7], [9], [13], [17.5], [18]]. Let's implement this problem it scikit-learn. Firs import Linear Regress from scikit-learn pakage. from sklearn.linear_model import LinearRegression Import Numpy module because when b give the data to model it will only accept if the data in Numpy array. from sklearn.linear_model import LinearRegression import numpy as np Import matplot libraray which use to Draw a plot of our data import matplotlib.pyplot as plt x = [[6], [8], [10], [14], [18]] x = np.reshape(x, (-1, 1)) Her we rehshape array to 2d because it ac...
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