We will learn how to build a Simple Linear Regression Model using Sci-kit Learn. Simple Linear Regression is a regression algorithm that shows the relationship between a single independent variable and a dependent variable. The Sci-kit Learn library contains a lot of tools used for machine learning.
In this guide, we will learn how to build a Simple Linear Regression Model using Sci-kit Learn. Simple Linear Regression is a regression algorithm that shows the relationship between a single independent variable and a dependent variable.
The Sci-kit Learn library contains a lot of tools used for machine learning. We will build a model to predict sales revenue from the advertising dataset using simple linear regression.
The formula of simple linear regression is:
y = θ0x + θ1
θ0 represents the slope of the regression line
θ1 represents the intercept of the regression line
x is the independent variable
y is the dependent variable
Let’s import our libraries
## importing libraries import pandas as pd import numpy as np from matplotlib import pyplot as plt %matplotlib inline ## importing dataset advert = pd.read_csv('Advertising.csv') ## view first 5 entries advert.head()
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