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Decision-Tree
Decision Tree
Decision Tree is one of the most widely used machine learning algorithm. It is a supervised learning algorithm that can perform both classification and regression operations. As the name suggest, it…
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A Decision tree is the graphical illustration of all the various ways to make a decision based on specific conditions. These conditions are usually if-then statements or we can generally say it as…
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· A decision tree is a graphical representation of all possible solutions to a decision based on certain conditions. · Decision Trees are versatile machine learning algorithms that can perform both…
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Decision Trees are intuitive machine learning algorithms that can be used for classification and regression tasks. They recursively split data into subsets based on feature values, creating a tree-lik...
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Decision tree is one of the most popular machine learning algorithms. It is basically tree like structure constructed on the basis of attributes/features . Decision Trees is the non-parametric…
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The decision tree is one of the tree-based algorithms in the machine learning domain. It is highly intuitive and easy to understand which makes it super useful in solving some of the classic machine…
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Let's pretend we're farmers with a new plot of land. Given only the Diameter and Height of a tree trunk, we must determine if it's an Apple, Cherry, or Oak tree. To do this, we'll use a Decision Tree....
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A decision tree is a flowchart-like structure in which each internal node represents a test on a feature (e.g. whether a coin flip comes up heads or tails) , each leaf node represents a class label…
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Decision tree algorithm is one of the powerful tools of machine learning. The most basic example of decision tree would be buying a car. When buying a car there are lots of questions related to…
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Decision Tree is a Classification Algorithm used in Machine Learning. It is versatile enough as it can be used to solve Regression problems as well. It is a tree or graph-like structure with a root…
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Linear regression and logistic regression models fail in situations where the relationship between features and outcome is nonlinear or where features interact with each other. Time to shine for the d...
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In this article we will understand the Decision Tree by answering the following question: * What is a Decision Tree? * What is the core concept of a Decision Tree? * What are the terminologies used in...
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