Practice Train the Logistic Regression Model - 7.6 | Chapter 7: Supervised Learning – Logistic Regression | Machine Learning Basics
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Train the Logistic Regression Model

7.6 - Train the Logistic Regression Model

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the target variable in our dataset?

💡 Hint: It's the variable we want to predict.

Question 2 Easy

What is the feature we are using in our logistic regression model?

💡 Hint: Look for the input variable.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which one of the following is the target variable in logistic regression?

Hours_Studied
Passed
Study_Pattern

💡 Hint: It's what we want to know after studying hours.

Question 2

True or False: Logistic Regression is a regression algorithm.

True
False

💡 Hint: Think about what kind of output it predicts.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset of student hours and pass rates, design a logistic regression model from scratch. What steps would you take?

💡 Hint: Consider what preprocessing you might need to do.

Challenge 2 Hard

In certain situations, logistic regression may not work well. What could these situations be, and why?

💡 Hint: Think of how data might look if we do plots.

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