Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model on the Traini

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model on the Traini

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial explains how to use the linear regression model from Sklearn. It begins by importing the linear regression class, then assigns it to a variable named 'regressor'. The tutorial proceeds to demonstrate how to fit the training dataset, X_train and Y_train, to the linear regression model using the 'regressor.fit' method, enabling the training process.

Read more

2 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the names of the training data sets used in the fitting process?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of fitting the training data to the linear regression class?

Evaluate responses using AI:

OFF