Decision Tree
DECISION TREES
Definition: Decision Trees are supervised learning algorithms used for classification and regression. They use a tree-like structure where internal nodes represent tests on features, branches represen...
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Decision Tree — Part 1
What is a Decision tree? A decision tree is a supervised learning method with comparatively good accuracy and a self-explanatory model. The approach is Top-Down, and it is a Greedy algorithm. It can…
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DECISION TREE
The decision tree falls under the category of supervised machine learning technique, it is also referred to as CART (Classification and Regression Trees). It utilises a tree structure to model…
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Decision Trees
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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Comprehensive Introduction to Decision Trees
A decision tree is a model used in a wide array of industries that visually maps out the if-else flow of a particular scenario. As an example, consider a scenario where you want to plan out the next d...
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A Quick Start With Decision Tree
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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Decision Tree - For Beginners
· 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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A Dive Into Decision Trees
Decision Trees are some of the most used machine learning algorithms. They are used for both classification and Regression. They can be used for both linear and non-linear data, but they are mostly…
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Decision Tree 101!
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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Decision Trees from the Root Up
Decision trees are one of the foundational model types in data science. And luckily, they provide a great example of how computers can automate simple human intuitions to build large, complex models…
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Working behind DECISION TREES — Easy Explanation
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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A Quick Guide to Decision Trees
Decision Trees are a very common, intuitive and explainable method of analyzing data with the goal of dividing the entities into separate groups (classification) or predicting a quantity…
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