Python In Practice - 15 Projects to Master Python - Creating a Machine Learning Model with Dataset

Python In Practice - 15 Projects to Master Python - Creating a Machine Learning Model with Dataset

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial guides viewers through creating a linear regression model using Scikit-Learn. It covers the installation of necessary libraries, setting up a Jupyter Notebook, and importing a dataset to predict weight based on height. The tutorial emphasizes the importance of correct naming conventions and provides a step-by-step approach to model creation and data handling.

Read more

7 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What type of machine learning model is being created in this lesson?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the input variable used in the linear regression model?

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the CSV data mentioned in the lesson?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

What library is used to implement the machine learning model?

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

What command is suggested to install the required library?

Evaluate responses using AI:

OFF

6.

OPEN ENDED QUESTION

3 mins • 1 pt

What should be done if an error occurs during the import of libraries?

Evaluate responses using AI:

OFF

7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the next step after importing the necessary libraries and data?

Evaluate responses using AI:

OFF