Data Science Gabarito 2 da Universidade de harvard

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Data Science: Machine Learning
Comprehension Check: Basics of Evaluating Machine Learning Algorithms
Q1
2.0/2.0 points (graded)
For each of the following, indicate whether the outcome is continuous or categorical.
Digit reader                            
correta
categorical
Height                            
correta
continuous
Spam filter                            
correta
categorical
Stock prices                            
correta
continuous
Sex                            
correta
categorical
Q2
1/1 point (graded)
How many features are available to us for prediction in the mnist digits dataset?
You can download the mnist dataset using the read_mnist() function from the dslabs package.
  correta 
784
784 
Explanation
One way to figure out the number of features available for prediction is to download mnist and then use the ncol function, like this:
mnist <- read_mnist()
ncol(mnist$train$images)
 
continuous
 
categorical
784
 
categorical
 
continuous
 
categorical