The term regression is used when you try to find the relationship between variables. Machine Learning is making the computer learn from studying data and statistics.
Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome.
The term regression is used when you try to find the relationship between variables. In Machine Learning and statistical modelling, that relationship is used to predict the outcome of future events.
Linear regression uses the relationship between the data-points to draw a straight line through all them. This line can be used to predict future values.
Python has methods for finding a relationship between data-points and to draw a line of linear regression. We will show you how to use these methods instead of going through the mathematic formula.
x = [5,7,8,7,2,17,2,9,4,11,12,9,6] y = [99,86,87,88,111,86,103,87,94,78,77,85,86] plt.scatter(x, y) plt.show()
This displays a scatter plot:
Import ‘scipy’ and draw the line of Linear Regression:
import matplotlib.pyplot as plt from scipy import stats
Create the arrays that represent the values of the x and y-axis:
x = [5,7,8,7,2,17,2,9,4,11,12,9,6] y = [99,86,87,88,111,86,103,87,94,78,77,85,86]
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