2 - Common Classification Algorithms
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Practice Questions
Test your understanding with targeted questions
What type of data is Logistic Regression suitable for?
💡 Hint: Think about scenarios with only two possible outcomes.
Name one advantage of Decision Trees.
💡 Hint: Consider how visual representations help understand results.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What algorithm is primarily used for binary classification?
💡 Hint: Remember the name suggests its purpose.
True or False: Decision Trees can only handle linear data.
💡 Hint: Think about how trees split data.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a dataset with features that do not follow a linear pattern. Explain which classification algorithm (Logistic Regression, Decision Trees, or KNN) would be most appropriate and why.
💡 Hint: Think about the characteristics each algorithm requires in the data.
Design a scenario where KNN might fail dramatically compared to Logistic Regression. Describe the scenario and why KNN would struggle.
💡 Hint: Evaluate the impact of 'curse of dimensionality'.
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