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Bootstrapping is a method that introduces ___________ in the subsets for training of each predictor, therefore bagging ends up with a slightly higher bias than pasting. This also leads to the predictors being less correlated, therefore the ensemble’s variance is reduced and bagging usually results in better models as a result

If train test split division of data take 10 seconds to execute the algorithm, how much time k-fold cross validation split with k=5 will take?

In Machine Learning terms, what does “target” refer to?  

What is One Hot Encoding?  

Which syntax is used to fill missing value with number 5 in dataframe “df”?  

For the example of Linear Regression, how do you train a dataset applying Linear Regression? Let’s label Linear Regression as “LR”.   X_train & Y_train are training dataset and corresponding label  X_test & Y_test are testing dataset and corresponding label  

In the K-Nearest-Neighbor algorithm, how do you specify how many data points to evaluate (K – Hyperparameter)  to determine which class the data point belongs to? In this example, let’s say we want to evaluate 5 dat apoints.  

How do you get the data type for each column in a data frame (df)?    

What type of function does Logistic Regression use to define its decision boundary between different data points?

Python allows string slicing. What is the output of the following code: s=”Applied Machine Learning” print(s[3:5])