Practice NLP with Machine Learning - 9.5 | 9. Natural Language Processing (NLP) | Data Science Advance
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NLP with Machine Learning

9.5 - NLP with Machine Learning

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is Naive Bayes primarily used for?

💡 Hint: Think about where you would categorize emails.

Question 2 Easy

What does SVM stand for?

💡 Hint: It is concerned with separating classes in a dataset.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main advantage of Naive Bayes?

A: It handles high-dimensional data
B: It provides the best accuracy
C: It's easy to implement and requires less computation

💡 Hint: Consider its efficient computation with multiple features.

Question 2

True or False: Decision Trees can handle imbalanced datasets naturally.

True
False

💡 Hint: Think about how classes are represented in the hierarchy of trees.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a comparative analysis of using Naive Bayes versus SVM for text classification on social media data.

💡 Hint: Consider dataset properties and feature correlations.

Challenge 2 Hard

Illustrate how you can handle an imbalanced dataset when using Decision Trees in NLP tasks.

💡 Hint: Think about the distribution of your classes.

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Reference links

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