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DECISION TREE
In this Blog I will be writing about a widely used classification (machine learning) algorithm, that is, Decision Tree. Here I will explain about what is Decision Tree, Types of Decision Tree…
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In our day-to-day life, we interact with various machine learning applications and use it without knowing it. The best example is buying something from any online shopping portal where we get several…...
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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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Decision Tree is supervised machine learning algorithm used for classification and regression problems. Classification deals with predicting class of discrete values like 0/1 or predicting if some…
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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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This is the third article in a series of articles where we will understand the “under the hood” workings of various ML algorithms, using their base math equations. With so many optimized…
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Decision tree is one of the popular machine learning algorithms which is the stepping stone to understand the ensemble techniques using trees. Also, Decision Tree algorithm is a hot topic in many of…
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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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This blog covers another interesting machine learning algorithm called Decision Trees and it’s mathematical implementation. At every point in our life, we make some decisions to proceed further…
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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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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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The easiest way to understand this algorithm is to consider it a series of if-else statements with the highest priority decision nodes on top of the tree. Given a dataset, we, first of all, find an…
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