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:
Answer:
Definition: The unobservable market force that helps the demand and supply of goods in a free market to reach equilibrium automatically is the invisible hand. Description: The phrase invisible hand was introduced by Adam Smith in his book 'The Wealth of Nations'.
so ans is the invisible hand
hope help full thnk u❤️❤️❤️
This happened to me a while back. If you can’t find a contact to admin try emailing one of your teachers. My teacher told admin and then they fixed it.
Answer: It doesn't look like you included the video if you could i would love to help!
You must create -tables- before any of the other database objects.
