Practical Data Science using Python - Naive Bayes Probability Computation

Practical Data Science using Python - Naive Bayes Probability Computation

Assessment

Interactive Video

Computers

9th - 10th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains the multinomial naive Bayes classifier, focusing on its application in text classification, such as spam detection. It covers NLP techniques like Bag of Words and TFIDF, and provides a detailed example using golf data to illustrate probability calculations. The tutorial concludes with a brief mention of a Python demo.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the steps involved in calculating the probability of a class in the naive Bayes classifier?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the role of likelihood in the naive Bayes classification process.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the importance of creating a frequency table in the context of naive Bayes classification?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you interpret the results of a naive Bayes classifier in terms of probability?

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