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# Decision Trees

### Week – 2 Decision Trees of Launching into Machine Learning

Regression
Both A and B
None of the above

Linear classifier of all features
Mean squared error minimizer
Linear classifier of one feature
Euclidean distance minimizer

True
False

Mean squared error minimizer and euclidean distance minimizer are used in regression and classification.
Mean squared error minimizer and euclidean distance minimizer are used in regression, not classification.
Mean squared error minimizer and euclidean distance minimizer are not used in regression and classification.
Mean squared error minimizer and euclidean distance minimizer are used in classification, not regression.
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### Practice Quiz on Exploratory Data Analysis

1. Decision trees are one of the most intuitive machine learning algorithms. They can be used for which of the following?

1 point

2. In a decision classification tree, what does each decision or node consist of?

1 point

3. A random forest is usually more complex than an individual decision tree; this makes it harder to visually interpret ?

1 point

4. Which of the following statements is true?

1 point

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Week – 2 Linear Regression of Launching into Machine Learning 1. Fill in the blanks. In the video, we presented a linear equation. This hypothesis equation is applied to every…

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Week – 4 Generalization and ML Models of Launching into Machine Learning 1. Question 1 Which is the best way to assess the quality of a model? 1 point Observing…

Week – 1 Practice Quiz on Exploratory Data Analysis of Launching into Machine Learning 1. Which is the correct sequence of steps in data analysis and data visualisation of Exploratory…

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