linear-regression-plot

!pip install jovian --upgrade --quiet

import jovian

# Execute this to save new versions of the notebook
jovian.commit(project="linear-regression-plot")

# imports
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression

# generate random data-set
np.random.seed(0)
X = np.random.rand(100, 1)
Y = 2 + 3 * x + np.random.rand(100, 1)

# plot
plt.scatter(X,Y,s=10)
plt.xlabel('x')
plt.ylabel('y')
plt.show()