Top 50 data Science Interview Questions
Any value which is more than upper cap and less than the lower cap will fall under the definition of an outlier
Quartile divides a group of the dataset into four subgroups
from sklearn import linear_model import numpy as np
xl = [3,4,5,6,7]
x = np.asarray(xl).reshape(-1, 1)
y = [15,22,25,33,40]
lm = linear_model.LinearRegression()
lm.fit(x, y)
print(lm.intercept_)
print(lm.coef_[0])
xl = [3,4,5,6,7]
x = np.asarray(xl).reshape(-1, 1)
y = [15,22,25,33,40]
lm = linear_model.LinearRegression()
lm.fit(x, y)
print(lm.intercept_)
print(lm.coef_[0])
*/?>
*/?>
*/?>
*/?>