You hear a lot about machine learning these days. But how does it actually work?
Take the quiz—just 10 questions—to see how much you know about machine learning!
What type of machine learning algorithm makes predictions when you have a set of input data and you know the possible responses?
What category of machine learning algorithm finds patterns in the data when the data is not labeled?
When would you reduce dimensions in your data?
What does a classification model do?
Which one of these classification algorithms is easiest to start with for prediction?
What does hyperparameter tuning do?
Which feature selection technique uses shrinkage estimators to remove redundant features from data?
What is principal component analysis?
What is overfitting?
What kind of table compares classifications predicted by the model with the actual class labels?
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