15/05/2023 night skill

Why we learn the mathematics behind the machine learning algorithms

• to identify the number of variables

• to predict the actual output

•  to select the correct algorithm for the given dataset

• to understand the algorithm

If there are more than 2 variables what regression can be used?

• xboost regression

• linear regression

• logistic regression

• multiple linear regression

Select the disadvantage of linear regression?

• suitable for data

• sensitive to outliers

• very simple to implement

• good performane

  with data

Why we use gradient descent?

• to reduce loss function

• none

• to increase the loss function

• to make the loss function equal

In y=wx+c  w and  c are defined as?

• w=slope c= bias

• w= bias c= weight

• w=wait c= constant

• w= Weight c= bias

Pandas are used to ?

• change csv file into tabular form

• to change tabular to csv

• to change csv into word

• to change tabular into word

What is the use of learning rate?

• none

• it determines the value of x and y

• it determines the steps size at each iteration

• it determines the actual value

What is formula for loss function?

• y(predict)- y(actual)

• y( actual)- y(predict)

sklearn is a ?

• package

• class

• function

• tool

identify the uses of supervised learning!

• clustering

• decision making

• none

• segmentation