Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Activity- Feature Selection in Pytho

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Activity- Feature Selection in Pytho

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces an activity where learners must determine if scikit-learn supports forward selection. It explains that scikit-learn already implements recursive feature elimination, which is a backward elimination method, and also offers recursive feature elimination with cross-validation. The activity encourages learners to explore and have fun while investigating forward selection support in scikit-learn.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main task introduced in the activity?

To implement backward elimination

To determine if Scikit-learn supports forward selection

To learn about cross-validation

To explore recursive feature elimination

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which feature selection method is described as backward elimination?

Recursive feature elimination

Forward selection

Feature scaling

Cross-validation

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What additional feature does recursive feature elimination have in Scikit-learn?

It requires manual implementation

It is only available in R

It includes cross-validation

It supports forward selection

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the final activity mentioned in the video?

To implement recursive feature elimination

To find out if forward selection is supported

To learn about backward elimination

To explore the use of cross-validation

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the suggested approach to the activity at the end of the video?

To avoid it

To explore and have fun

To ask for help immediately

To complete it quickly