Practice Popular Algorithms (30.6.1) - Introduction to Machine Learning and AI

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9 questions

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6 sample questions

Question 1.
What is the purpose of regression algorithms?
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Think about what we want to predict in terms of quantities.
Question 2.
Name a classification algorithm.
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Consider algorithms that categorize data.
3Question 3.
What does logistic regression predict?
- Continuous values
- Probabilities
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Think about the types of results that logistic regression is applied to.
4Question 4.
True or False: K-Means is a classification algorithm.
- True
- False
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Remember what clustering means versus classification.
Question 5.
Design a predictive model using Linear Regression for planning a construction project based on available historical data.
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Look at previous projects to find data to support your model.
Question 6.
Develop an approach to use K-Means clustering for analyzing traffic patterns in urban environments.
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Start by visualizing your clusters to determine the optimal number of K.

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