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

Practice Problem

Hard

Created by

Wayground 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.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What library is used to implement the machine learning model?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What command is suggested to install the required library?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

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

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