The scaling technique where we rescale the data to have mean = 0 and standard deviation = 1

What is the typical pipeline for a classification model using text data?

Channels present in RGB color coding

Open-source tool that can combine code, markdown, and visualizations together in a single document.

Categorical datatype is otherwise called as

Mark all the following fields in which Machine Learning is used

A broad term that refers to computers thinking more like humans.

Common types of data in Machine Learning

At what stage of the data science lifecycle do you optimize the parameters?

In which technique you can depict a relation between two variable using a straight line

_____ algorithms do not make assumptions regarding the form of the mapping between input data and output, so they are free to learn any functional form from the training data.

Which one of them finds hidden structures in data

Error that results from inaccurate assumptions in model training (that are made to simplify the training process)

In the regression equation Y = a+bX, the Y is called:

In simple linear regression model Y = α + βX + ε where α and β are called:

The purpose of simple linear regression analysis is to:

True- False: Overfitting is more likely when you have huge amount of data to train?

The most commonly used cost function for linear regression is

Which of these comes in data preparation?