The answer is computer. A computer is made up of microchips (CPU and GPU), an operation system (macOS or Windows), input methods (keyboard and mouse), and other parts.
I’m pretty sure the answer for 1 is B.
And the answer for 2 is True.
Answer:
<u>C. You cannot unhide rows by removing filters</u> is the correct statement about filtering technique.
Explanation:
We can apply multiple filters for rows or columns. If we would like to view the data satisfying multiple filters, this option can be used.
Once a filter is applied, it can be removed or added again. The hidden rows or columns will be visible once all the filters are removed. By building a selection list of all the rows that should not be visible, we can hide the rows by removing filters.
Filters can be applied to any row or column.
Answer:
The answer is nearest-neighbor learning.
because nearest neighbor learning is classification algorithm.
It is used to identify the sample points that are separated into different classes and to predict that the new sample point belongs to which class.
it classify the new sample point based on the distance.
for example if there are two sample points say square and circle and we assume some center point initially for square and circle and all the other points are added to the either square or circle cluster based on the distance between sample point and center point.
while the goal of decision tree is to predict the value of the target variable by learning some rules that are inferred from the features.
In decision tree training data set is given and we need to predict output of the target variable.
Explanation:
