Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors (KNN) Using Python

Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors (KNN) Using Python

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces the userdata.csv dataset, explaining its contents and the variables involved. It outlines the steps for coding in Python, including preprocessing, fitting a model to the training set, predicting test results, and testing accuracy. The tutorial sets the stage for future lectures where these steps will be executed in detail.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of testing the accuracy of the results?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What programming language will be used to perform the steps outlined in the text?

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