Quiz 7.1

what is output :

import numpy
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x = numpy.mean(speed) print(x)

y = numpy.median(speed) print(y)

z = stats.mode(speed) print(z)

Regression is

• Supervised

• un Supervised

• rain forsment

• all of the choices

Regression data is

• continuous data

• category data

when learning rate almost to zero

in gradient descent Equation ??

• Maximum iterations

• Minimum iterations

• no change in iterations

from sklearn import liner model

write code to use liner regression ??

Machine learning models should work automatically without the need for the

user to manually set the hyperparameters.

• True

• False

While training your regression model using Gradient Decent, you noticed that the

value of loss increases with epochs, this behavior can be due to high learning

rate.

• True

• False

from scipy import stats
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]

complete code to find :slope, intercept ??

Cleaning Empty Cells which function we use ?

• df.dropna()

• df.fillna(130, inplace = True)

• df.loc[7, 'Duration'] = 45

• A & B

Removing Duplicates which function we use ?

• df.loc[7, 'Duration'] = 45

• df.dropna()

• df.duplicated()

• none of them